NET Wiki - User contributions [en]

Practical Course Networking Lab (Summer 2018)

2018-04-15T19:29:01Z

Skulkar: /* Lab Slots */

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [https://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto][http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
|time= organizational meeting - April 10, 12:00-13:00
|place=IfI 0.101
|links=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=212424&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20181&idcol=k_semester.semid&idval=20181&getglobal=semester univz] [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course in [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid April onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2018''
|-
|{{Hl2}} |'''Timeslot'''
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgYellow}} | '''Morning Slot (10:00-13:00)'''
| {{BgYellow}} | '''Jonathan Decker and Jacob Warter'''
| {{BgYellow}} | '''Daniel González Marx and Christian Parchem'''
| {{BgYellow}} | '''Daniel Thewes and Simon Steuernagel'''
| {{BgYellow}} | '''Hong Yuan Chen and Elias Bömeke'''
| {{BgGreen}} | '''RESERVED'''
|-
| {{BgYellow}} | '''Afternoon Slot (14:00-17:00)'''
| {{BgYellow}} | '''Linus Weber and Jonatan Crystall'''
| {{BgGreen}} | '''RESERVED'''
| {{BgGreen}} | '''RESERVED'''
| {{BgYellow}} | '''Nicklas Zdarsky and Nicklas Meyer'''
| {{BgGreen}} | '''RESERVED'''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Summer 2018)

2018-04-12T17:27:00Z

Skulkar: /* Lab Slots */

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [https://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto][http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
|time= organizational meeting - April 10, 12:00-13:00
|place=IfI 0.101
|links=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=212424&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20181&idcol=k_semester.semid&idval=20181&getglobal=semester univz] [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course in [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid April onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2018''
|-
|{{Hl2}} |'''Timeslot'''
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgYellow}} | '''Morning Slot (10:00-13:00)'''
| {{BgYellow}} | '''Jonathan Decker and Andrej Liebert'''
| {{BgYellow}} | '''Daniel González Marx and Christian Parchem'''
| {{BgYellow}} | '''Daniel Thewes and Simon Steuernagel'''
| {{BgYellow}} | '''Hong Yuan Chen and Elias Bömeke'''
| {{BgGreen}} | '''RESERVED'''
|-
| {{BgYellow}} | '''Afternoon Slot (14:00-17:00)'''
| {{BgYellow}} | '''Linus Weber and Jonatan Crystall'''
| {{BgGreen}} | '''RESERVED'''
| {{BgGreen}} | '''RESERVED'''
| {{BgYellow}} | '''Nicklas Zdarsky and Nicklas Meyer'''
| {{BgGreen}} | '''RESERVED'''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2018)

2018-04-12T16:58:41Z

Skulkar: /* Topics */

== Details ==

{{CourseDetails
|credits=4 ECTS (BSc/MSc AI); 4 (ITIS)
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/Tao_Zhao Tao Zhao]
|time=April 12, 16:00-16:30: Introduction Meeting
|place=IFI Building, Room 1.101
|univz=[https://univz.uni-goettingen.de/qisserver//rds?state=verpublish&status=init&vmfile=no&publishid=211342&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&idcol=k_semester.semid&idval=20181&getglobal=semester&htmlBodyOnly=true&noDBAction=y&init=y]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*There will be 2 milestones before the presentations where the students should pass before they register for the course.
**Intro milestone where the adviser make sure that the student start to work on the topic and following an accepted methodology.
**Midterm milestone. (ex. programming tasks done etc... )

*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''April. 12, 16:00ct''': Introduction meeting
* TBD : Deadline for registration
* TBD : Presentations
* '''Sept. 31, 2018, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Prerequisites'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| '''Reinforcement Mechanism Design'''
| Mechanism design is a modeling and algorithmic framework to design and optimize mechanisms in dynamic industrial environments where a designer can make use of the data generated in the process to automatically improve future design. Reinforcement mechanism design is rooted in game theory but incorporates recent AI techniques to get rid of nonrealistic modeling assumptions and to make automated optimization feasible. The framework can be applied on many key application scenarios, such as Baidu and Taobao, two of the largest mobile app companies in China. For the Taobao case, the framework automatically designs mechanisms that allocate buyer impressions for the e-commerce website; for the Baidu case, the frame-work automatically designs dynamic reserve pricing schemes of advertisement auctions of the search engine. Experiments show that the solutions outperform the state-of-the-art alternatives and those currently deployed, under both scenarios.
| Basic knowledge of machine learning, deep learning and big data analysis. Familar with mechanism design.
|Bo Zhao (bo.zhao@gwdg.de)
|[https://pdfs.semanticscholar.org/5ec9/ed5c9936c069fa554603aa773d3ee036b4ac.pdf][https://arxiv.org/abs/1708.07607][http://iiis.tsinghua.edu.cn/~kenshin/rmd_ec.pdf]
|-
| '''Understanding and implementing web crawler'''
| Web crawlers collect information such the URL of the website, the meta tag information, the Web page content, the links in the webpage and the destinations leading from those links, the web page title and any other relevant information. Web crawler can be used in data mining, wherein pages are analyzed for different properties like statistics, and data analytics are then performed on them. The topic has two main tasks: 1) explore and summarize existing python-based web crawling frameworks; 2) design and implement a simple web crawler with Python, e.g., crawl some information of a simple webpage in Twitter.
| The student interested in this topic should be familiar with Python, and ideally has some practical experience with Python.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://en.wikipedia.org/wiki/Web_crawler]
|-
| '''Getting a Practical Understanding of Segment Routing'''
| Segment Routing (SR) is a new data-plane paradigm that employs source routing and software defined networking (SDN) to present an ease to manage network. The main key advantage compared to openflow based SDN is that SR embeds the path in the packet header and hence no states are kept in the core network. Your task is to understand in practical and theory how this main key affects the way SR is doing relative network tasks such as traffic enigneering and service function chaining. If you are not sure about your time schedule during this semester, please choose another topic.
| The student should be at least familiar with one programming language (eg. Java or Python), basic open-flow SDN and basic linux skills.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| [http://www.segment-routing.net/][http://www.segment-routing.org/]
|-
| '''Hands-on study of Vector Packet Processing (VPP)'''
| The VPP platform is an extensible framework that provides out-of-the-box production quality switch/router functionality. It is the open source version of Cisco's Vector Packet Processing (VPP) technology: a high performance, packet-processing stack that can run on commodity CPUs. The benefits of this implementation of VPP are its high performance, proven technology, its modularity and flexibility, and rich feature set.
The student's task will be acquiring hands-on experience with the VPP platform (included source code). The expected outcome would be a detailed report on how to use VPP and how to create a custom plug-in (for this part a demo application should be implemented).

| Basic networking knowledge, C/C++ programming, Unix/Linux administration. Knowledge of Data Plane Development Kit (DPDK) would be beneficial (but not mandatory).
| [http://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto]
| [https://wiki.fd.io/view/VPP]
|-

| '''Deep Learning and Smart City'''
| Smart city is a hot topic in recent years. And deep learning is another hot topic. However, the application of DL in smart city areas is largely overlooked by the reserach community. The student picking this topic need to read several recent papers about connecting DL to smart city questions. In this process, you will know basic concept, general problems and important approahces in this ﬁeld.
| Basic machine learning knowledge
| [Shichang Ding--shichang.ding@informatik.uni-goettingen.de]
| [https://aaai.org/ocs/index.php/AAAI/AAAI17/paper/view/14501]
|-

| ''' Research and implementation of an OPC UA application in ICN'''
| THE OPC foundation is a consortium of industry partners that is responsible for creating and maintaining industry standards. There most recent standard is called Open Platform Communications Unified Architecture (OPC UA). OPC UA brings a significant enhancement to the existing OPC framework, especially making is platform independent, and turning it into a service oriented architecture. It is an open source architecture and in this topic you will be required to perform a research on the OPC UA standard and the communication protocols offered in this architecture and implement an application based on this architecture in Information Centric Networking (ICN).

| Basic networking knowledge, C/C++ programming, Unix/Linux, Java and Information Centric Networking (ICN).
| Sripriya Adhatarao (adhatarao@cs.uni-goettingen.de)
| [https://opcfoundation.org/]
|-

|'''NFV Frameworks - Insight and Assessment'''
| Focus of this topic is to present a comprehensive study and evaluate at least 2 of the NFV platforms (either the Industry and academic works targeted towards deployment of NFV in Telecommunications, Data Center and Enterprise networks). Understand and Analyze the key aspects of the predominant NFV frameworks, and characterize them in terms of the adopted standards, resource requirements, deployment factors and constraints, performance metrics, support for service function chaining, etc. for deployment of Middleboxes and Network Functions in Telco/ISP/Data Center Networks. Evaluate the key deployment metrics accounting both qualitative and quantitative aspects in deploying and building the NFV solutions.
| Familiarity with SDN, NFV and DPDK (students who have already taken SDN course are preferred). Must have Basic networking knowledge, C/C++ programming, Linux administration.
| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [https://www.opnfv.org/] [https://www.usenix.org/system/files/conference/nsdi14/nsdi14-paper-martins.pdf] [http://dl.acm.org/ft_gateway.cfm?id=2940155&ftid=1754642&dwn=1&CFID=919487200&CFTOKEN=31286219] [http://superfluidity.eu/about/research-description] [https://fd.io/]
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Practical Course Networking Lab (Summer 2018)

2018-04-10T15:29:28Z

Skulkar: /* Lab Slots */

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [https://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto][http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
|time= organizational meeting - April 10, 12:00-13:00
|place=IfI 0.101
|links=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=212424&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20181&idcol=k_semester.semid&idval=20181&getglobal=semester univz] [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course in [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid April onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2018''
|-
|{{Hl2}} |'''Timeslot'''
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgYellow}} | '''Morning Slot (10:00-13:00)'''
| {{BgYellow}} | '''Jonathan Decker and Andrej Liebert'''
| {{BgYellow}} | '''Daniel González Marx and Christian Parchem'''
| {{BgYellow}} | '''Daniel Thewes and Simon Steuernagel'''
| {{BgYellow}} | '''Hong Yuan Chen and Elias Bömeke'''
| {{BgGreen}} | '''RESERVED'''
|-
| {{BgYellow}} | '''Afternoon Slot (14:00-17:00)'''
| {{BgYellow}} | '''Linus Weber and Jonatan Crystall'''
| {{BgGreen}} | '''RESERVED'''
| {{BgGreen}} | '''RESERVED'''
| {{BgYellow}} | '''NN'''
| {{BgGreen}} | '''RESERVED'''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Summer 2018)

2018-04-10T14:34:26Z

Skulkar: /* Lab Slots */

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [https://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto][http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
|time= organizational meeting - April 10, 12:00-13:00
|place=IfI 0.101
|links=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=212424&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20181&idcol=k_semester.semid&idval=20181&getglobal=semester univz] [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course in [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid April onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2018''
|-
|{{Hl2}} |'''Timeslot'''
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgYellow}} | '''Morning Slot (10:00-13:00)'''
| {{BgYellow}} | '''Jonathan Decker and Andrej Liebert'''
| {{BgYellow}} | '''CD'''
| {{BgYellow}} | '''Daniel Thewes and Simon Steuernagel'''
| {{BgYellow}} | '''Hong Yuan Chen and Elias Bömeke'''
| {{BgGreen}} | '''RESERVED'''
|-
| {{BgYellow}} | '''Afternoon Slot (14:00-17:00)'''
| {{BgYellow}} | '''Linus Weber and Jonatan Crystall'''
| {{BgGreen}} | '''RESERVED'''
| {{BgGreen}} | '''RESERVED'''
| {{BgYellow}} | '''NN'''
| {{BgGreen}} | '''RESERVED'''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Summer 2018)

2018-04-10T13:59:13Z

Skulkar: /* Lab Slots */

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [https://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto][http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
|time= organizational meeting - April 10, 12:00-13:00
|place=IfI 0.101
|links=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=212424&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20181&idcol=k_semester.semid&idval=20181&getglobal=semester univz] [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course in [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid April onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2018''
|-
|{{Hl2}} |'''Timeslot'''
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgYellow}} | '''Morning Slot (10:00-13:00)'''
| {{BgYellow}} | '''Jonathan Decker and Andrej Liebert'''
| {{BgYellow}} | '''CD'''
| {{BgYellow}} | '''Daniel Thewes and Simon Steuernagel'''
| {{BgYellow}} | '''Hong Yuan Chen and Elias Bömeke'''
| {{BgGreen}} | '''xx'''
|-
| {{BgYellow}} | '''Afternoon Slot (14:00-17:00)'''
| {{BgYellow}} | '''Linus Weber and Jonatan Crystall'''
| {{BgGreen}} | '''--'''
| {{BgGreen}} | '''--'''
| {{BgYellow}} | '''NN'''
| {{BgGreen}} | '''--'''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Summer 2018)

2018-04-10T13:57:09Z

Skulkar: /* Lab Slots */

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [https://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto][http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
|time= organizational meeting - April 10, 12:00-13:00
|place=IfI 0.101
|links=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=212424&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20181&idcol=k_semester.semid&idval=20181&getglobal=semester univz] [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course in [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid April onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2018''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgYellow}} | '''Jonathan Decker and Andrej Liebert (10:00-13:00)'''
| {{BgYellow}} | '''CD'''
| {{BgYellow}} | '''Daniel Thewes and Simon Steuernagel (10:00-13:00)'''
| {{BgYellow}} | '''Hong Yuan Chen and Elias Bömeke (10:00-13:00)'''
| {{BgGreen}} | '''xx'''
|-
| {{BgYellow}} | '''Linus Weber and Jonatan Crystall (14:00-17:00)'''
| {{BgGreen}} | '''--'''
| {{BgGreen}} | '''--'''
| {{BgYellow}} | '''NN'''
| {{BgGreen}} | '''--'''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Summer 2018)

2018-04-10T11:21:48Z

Skulkar: /* Lab Slots */

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [https://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto][http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
|time= organizational meeting - April 10, 12:00-13:00
|place=IfI 0.101
|links=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=212424&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20181&idcol=k_semester.semid&idval=20181&getglobal=semester univz] [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course in [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid April onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2018''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgYellow}} | '''Jonathan Decker and Andrej Liebert (10:00-14:00)'''
| {{BgYellow}} | '''CD'''
| {{BgYellow}} | '''DS'''
| {{BgYellow}} | '''EH'''
| {{BgGreen}} | '''xx'''
|-
| {{BgYellow}} | '''Linus Weber and Jonatan Crystall (14:00-17:00)'''
| {{BgGreen}} | '''--'''
| {{BgGreen}} | '''--'''
| {{BgYellow}} | '''NN'''
| {{BgGreen}} | '''--'''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Summer 2018)

2018-04-10T11:06:28Z

Skulkar: /* Lab Slots */

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [https://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto][http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
|time= organizational meeting - April 10, 12:00-13:00
|place=IfI 0.101
|links=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=212424&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung&k_semester.semid=20181&idcol=k_semester.semid&idval=20181&getglobal=semester univz] [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course in [https://www.studip.uni-goettingen.de/dispatch.php/course/overview?cid=3c7cafc46d2f649047aaad0c9744d60f&semester_filter=08f4e4154efd9f7b62dbb8216b65fc27&again=yes studip]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid April onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2018''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | '''xx'''
| {{BgGreen}} | '''xx'''
| {{BgGreen}} | '''xx'''
| {{BgGreen}} | '''xx'''
| {{BgGreen}} | '''xx'''
|-
| {{BgYellow}} | '''Linus Weber and Jonatan Crystall (14:00-17:00)'''
| {{BgGreen}} | '''--'''
| {{BgGreen}} | '''--'''
| {{BgGreen}} | '''--'''
| {{BgGreen}} | '''--'''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Seminar on Internet Technologies (Winter 2017/2018)

2017-10-26T10:32:51Z

Skulkar: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/Tao_Zhao Tao Zhao]
|time=Oct 19, 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''Oct. 19, 16:00ct''': Introduction meeting
* '''Jan. 11''' : Deadline for registration
* '''Jan. 18 and Jan. 19''' : Presentations
* '''Mar. 31, 2018, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| '''Strengths and Limitations of Visualization Libraries for Data Science''' (assigned to Hannah Rauterberg; partially practical)
One core aspect of Data Science is data visualization. For this task, data scientists can exploit a plethora of different visualization libraries in different programming languages.
The goal of this seminar topic is to work out advantages and disadvantages of each library and to show the key differences in practical examples based on a real-world dataset.
Please note that students interested in this topic should be confident programmers in one of Python or R, and additionally in JavaScript, and ideally bring along some practical experience in data analysis/data mining.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://www.kdnuggets.com/2015/05/21-essential-data-visualization-tools.html]
|-
| '''A survey of clustering algorithms (assigned)'''
Clustering is the unsupervised learning algorithm which groups unlabeled data into similar sub-groups. The clustering problem has been addressed in many contexts (social network, structure biological network ..). In this topic, we review and compare different approach address this problem. There are two main “small topics”:
a, Non-model based algorithms: Kmeans, spectral clustering, DBSCAN ..
b, A probabilistic model-based algorithm: Expectation Maximization, Gibbs sampler for Gaussian mixture model.
There are some useful practical parts which help students apply algorithms in real data.
| Thach Nguyen (Chuong-Thach.Nguyen@mpibpc.mpg.de)
| [https://pdfs.semanticscholar.org/26f1/78dbb00630ce19cccb9840ea12dbe31801be.pdf][http://papers.nips.cc/paper/2092-on-spectral-clustering-analysis-and-an-algorithm.pdf]
|-
| '''Transfer Learning for Visual Categorization (assigned to Shaheer Asghar)'''
Regular machine learning and data mining techniques study the training data for future inferences under a major assumption that the future data are within the same feature space or have the same distribution as the training data. However, due to the limited availability of human labeled training data, training data that stay in the same feature space or have the same distribution as the future data cannot be guaranteed to be sufficient enough to avoid the over-fitting problem. In real-world applications, apart from data in the target domain, related data in a different domain can also be included to expand the availability of our prior knowledge about the target future data. Transfer learning addresses such cross-domain learning problems by extracting useful information from data in a related domain and transferring them for being used in target tasks. In this work, this task is to provide a comprehensive study of state-of-the-art transfer learning algorithms in visual categorization applications, such as object recognition, image classification, and human action recognition. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [http://ieeexplore.ieee.org/abstract/document/6847217/]
|-
| '''A Survey on Semi-Supervised Learning Techniques (Assigned to Yifan Chen)'''
Semisupervised learning is a learning standard which deals with the study of how computers and natural systems such as human beings acquire knowledge in the presence of both labeled and unlabeled data. Semisupervised learning based methods are preferred when compared to the supervised and unsupervised learning because of the improved performance shown by the semisupervised approaches in the presence of large volumes of data. Labels are very hard to attain while unlabeled data are surplus, therefore semisupervised learning is a noble indication to shrink human labor and improve accuracy. In this work, this task is to survey some of the key approaches for semi-supervised learning. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://arxiv.org/abs/1402.4645]
|-
| '''A Survey on Multi-view Learning (Assigned to Oleh Astappiev)'''
In recent years, a great many methods of learning from multi-view data by considering the diversity of different views have been proposed. These views may be obtained from multiple sources or different feature subsets. In this work, this task is to survey a number of representative multi-view learning algorithms in different areas and organize and highlight similarities and differences between the variety of multi-view learning approaches. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://arxiv.org/abs/1304.5634]
|-
| '''Industrie 4.0: Networking prospective and challenges (assigned to Tetiana Tolmachova)'''
Germany is targeting reach Industry 4.0 stage in factories. You should survey all requirements from networking prospective and the main challenges.
'''NOTE:'''This topic could be a good entry for master project and thesis later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|[http://www.plattform-i40.de/I40/Navigation/DE/Home/home.html][https://en.wikipedia.org/wiki/Industry_4.0][https://www.bmbf.de/de/zukunftsprojekt-industrie-4-0-848.html]
|-
| '''Segment Routing - a Survey (assigned to Albert Demba )'''
Segment Routing or SPRING project is getting more attention to the advantages that it promised to deliver. Initial demos on top of MPLS and IPv6 show big impact on terms of scalability, simplicity and performance. You should concentrate on SRv6 and SDN integration.
'''NOTE:'''This topic could be a good entry for master project and thesis later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|[http://www.segment-routing.net/][https://www.youtube.com/watch?v=BEo5MdB3o3Y][http://ieeexplore.ieee.org/abstract/document/7417124/]
|-
| '''Open Topic (assigned to iman alobaidi) '''
This is one slot which is open for any student who has an idea on a new Internet Technology. This idea should not be addressed in the course in the last two years and related some how to the computer networks. To win with this slot, simply write me a short description of the technology and state three main references which you will use later for research.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|
|-
| '''A Review of Relational Machine Learning for Knowledge Graphs (Assigned to Waqar Alamgir)'''
Traditional machine learning algorithms take as input a feature vector, which represents an object in terms of numeric or categorical attributes. The main learning task is to learn a mapping from this feature vector to an output prediction of some form. In Statistical Relational Learning (SRL), the representation of an object can contain its relationships to other objects. Thus the data is in the form of a graph, consisting of nodes (entities) and labelled edges (relationships between entities). The main goals of SRL include prediction of missing edges, prediction of properties of nodes, and clustering nodes based on their connectivity patterns. The task is to review a variety of techniques from the SRL community and explain how they can be applied to large-scale knowledge graphs (KGs), i.e., graph structured knowledge bases (KBs) that store factual information in form of relationships between entities.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://ieeexplore.ieee.org/document/7358050/]
|-
| '''Deep Learning (Assigned to Fawad Abbasi)'''
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech. The main task is to summarize some representative application scenarios of deep learning in big data analysis.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://www.nature.com/nature/journal/v521/n7553/abs/nature14539.html?foxtrotcallback=true][http://dl.acm.org/citation.cfm?id=3092831]
|-
| '''Parallel Processing Systems for Big Data (Assigned to Muhammad Jawad)'''
The volume, variety, and velocity properties of big data and the valuable information it contains have motivated the investigation of many new parallel data processing systems in addition to the approaches using traditional database management systems (DBMSs). The task is to explore new research opportunities and assist users in selecting suitable processing systems for specific applications, considering the existing parallel data processing systems categorized by the data input as batch processing, stream processing, graph processing, and machine learning processing and introduce representative projects in each category.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://ieeexplore.ieee.org/abstract/document/7547948/]
|-
| '''Towards SDN and NFV Fault Management and High Availability (assigned to Hesham Hosney) '''
Network Function Virtualisation (NFV), is gaining rapid momentum, but are they reliable? can they conform with the Telecom operators latency and availability requirements of Fine Nines or Six Nines? The focus of this work is to first study and understand the concerns with NFV in terms of their failures, what amount of availability can they support. Second, study the state-of-the-art in terms of techniques that have been provided in the Cloud and Data Center networks for the traditional Virtual Machine based approaches and make the clear distinction of what aspects can and cannot be adapted? and what are the characteristics of NFV that make them differ from traditional VM based solutions? and aspects and solutions that can be adapted to achieve scalability, efficiency, and reliability in the NFV environments.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://www.etsi.org/deliver/etsi_gs/NFV-REL/001_099/002/01.01.01_60/gs_NFV-REL002v010101p.pdf] [https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper3.pdf] [https://datatracker.ietf.org/rg/nfvrg/documents/] [https://www.opnfv.org]
|-
|'''Service Plane for Network Functions: Network Service Headers and Other alternatives (assigned to Gulzaib Amjad)'''

Focus of this topic is to understand 'Service Function Chaining of Network Functions', the state-of-the-art proposals like Network Service Headers and related academic works. Reason and justify the need for service plane and then try to propose new mechanisms and design of the data plane to support network services, and the control plane functions necessary to manage these data plane functions.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6733615] [http://conferences2.sigcomm.org/acm-icn/2014/papers/p107.pdf] [https://tools.ietf.org/pdf/draft-quinn-sfc-nsh-07.pdf]
|-
| '''Online Convex Optimization Algorithms for Machine learning'''
Machine learning is a current buzz word in both industry and academia. The goal of this topic is to perform survey of online convex optimization algorithms used in machine learning. The goal is to present at least two usecases describing (at high level) usage of online convex optimization framework.
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
| [http://www.cs.huji.ac.il/~shais/papers/OLsurvey.pdf][http://ocobook.cs.princeton.edu/OCObook.pdf]
|-
| '''Prediction Markets (assigned to Dia Adden)'''
Prediction markets are exchange-traded markets created for the purpose of trading the outcome of events. The market prices indicate the probability of an event. The goal is to study and understand how prediction markets work.
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
| [https://en.wikipedia.org/wiki/Prediction_market][http://www.nature.com/news/the-power-of-prediction-markets-1.20820][https://dash.harvard.edu/handle/1/5027266]
|-
| '''Traffic Data Analysis --A survey (assigned to Cheng Chang) '''
Great amount of traffic data are generated everyday from private cars, subway, taxi and buses, etc. Traffic data analysis is of great help to understand the patterns of people mobility, transport planning, urban management and policymaking. And it is also an interesting way to learn some basic knowledge about big data and machine learning.
| [Shichang Ding--shichang.ding@informatik.uni-goettingen.de]
| [http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0149222][https://pdfs.semanticscholar.org/7d15/0a9390d569750978d9abcee4524f1974961f.pdf]
|-
| '''Fuctional Zone Discovery inside Cities -- A survey assigned to Rifat Rahman'''
Modern big cities usually consists of different functional regions, for example: Wall Street is famous for business district while Broadway is well know as an entertainment street. Discovering functional regions can help understand the economic, physical and social characters of a city, and is important to applications like:urban planning, advertising, tourism recommendation, business site selection, etc. It can help you better understand some very useful techniques of data mining, machine learning and etc.
| [Shichang Ding--shichang.ding@informatik.uni-goettingen.de]
| [https://www.microsoft.com/en-us/research/wp-content/uploads/2016/02/funcZone_TKDE_Zheng.pdf][http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.462.2440&rep=rep1&type=pdf]
|-
| '''Human Trajectory Clustering -- A survey assigned to Shruthi Shetty'''
A trajectory is a sequence of the location and timestamp of a moving object. It is not only an important type of spatio-temporal data, but also a critical source of information. Extracting patterns from different tra-
jectory data can help people understand the drives and outcomes of individual and collective spatial dynamics,such as human behavior patterns, transport and logistics, emergency evacuation management, animal behavior,
and marketing. Recently, a larger number of trajectory data are available for analyzing the temporal and spatial pattern, as the result of the improvements of tracking facilities and sensor networks. Therefore, clustering analysis needs to be used to find the implicit patterns in it. In this topic, you need to read and conclude knowledge from several important papers about human trajectory clustering.
| [Shichang Ding--shichang.ding@informatik.uni-goettingen.de]
| [https://www.ideals.illinois.edu/bitstream/handle/2142/11301/Trajectory%20Clustering%20A%20Partition-and-Group%20Framework.pdf?sequence=2&isAllowed=y]
|-
| '''Adaptive Video Streaming ''' (Assigned to: Muhammad Salman Gurmani)
Today's Internet is a heterogeneous networking environment. In such an environment, resources available to multimedia applications vary. To adapt to the changes in network conditions, both networking techniques and application layer techniques have been proposed. The study must give an overview of the different techniques proposed and some real use-case scenarios (ever heard about a company named Netflix??)
| [https://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto ]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6913491] [https://perso.telecom-paristech.fr/~drossi/paper/icn_das_techrep.pdf] [https://www-users.cs.umn.edu/~viadhi/netflix.pdf]
|-
| '''D2D Proximity Services'''
Sometimes referred as "digital sixth sense", Device-to-device (D2D) proximity discovery enables spectral reuse via D2D communications as well as a range of innovative proximity services, such as enhanced social networking and location services, thus helping in the offload of local data transmission. The study involves analyzing the actual and experimental technological solutions that enables the proximity services and the underlying communication protocols.
'''NOTE:'''This topic could be a good entry for [https://wiki.net.informatik.uni-goettingen.de/wiki/Theses_and_Projects master project and thesis].
| [https://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto ]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6807945] [https://www.qualcomm.com/invention/research/projects/lte-direct] [https://www.wi-fi.org/discover-wi-fi/wi-fi-aware]
|-
| '''360-degree Videos & Virtual Reality'''
360-degree videos are video recordings where a view in every direction is recorded at the same time, shot using an omnidirectional camera or a collection of cameras. During playback the viewer has control of the viewing direction like a panorama. They are often associated with VR (Virtual Reality), where a person using special equipment is able to "look around" in an artificial world. This task consists in study the actual solutions and protocols that enables the transmission of 360-degree videos, highlighting the challenges related to an efficient transmission of the video stream.
'''NOTE: possiblity to extend the work for master project or thesis.
| [https://www.net.informatik.uni-goettingen.de/people/jacopo_de%20benedetto Jacopo De Benedetto ]
| [http://www.com583.com/files/Redefining%20The%20Axiom%20Of%20Story_%20The%20VR%20And%20360%20Video%20Complex%20_%20TechCrunch.pdf] [http://delivery.acm.org/10.1145/2990000/2980056/p1-qian.pdf?ip=134.76.81.35&id=2980056&acc=ACTIVE%20SERVICE&key=2BA2C432AB83DA15%2E8C14E74AF280C121%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&CFID=819974159&CFTOKEN=46402817&__acm__=1508238751_aa9aa8f7a54b27ba5cfa252d87c7d5df] [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7823660]
|-
| '''Low-Rate Wireless Personal Area Networks''' (Assigned to: Asad Abbas)
The increasing number of smart devices and sensors deployed nowdays and their power and performance requires specific protocol communications. IEEE 802.15.4 is a technical standard which defines the operation of low-rate wireless personal area networks (LR-WPANs) and it is the basis for specifications like ZigBee, Thread, 6LowPan, LoRa and many others. The task of this topic is to give an overview of these standards and a comparison of the related specifications together with significant solution from both academy and industry. Personal proposal are very welcome (This can also be a starting point for a project/thesis).
| Sripriya Adhatarao (adhatarao@cs.uni-goettingen.de)
| [https://standards.ieee.org/findstds/standard/802.15.4-2015.html] [https://datatracker.ietf.org/wg/6lowpan/documents/] [https://www.lora-alliance.org/] [http://www.zigbee.org/] [http://threadgroup.org]
|-
| '''IoT with ICN''' (Assigned to : Md Tofiqul Islam)
IoT is a growing topic of Interest but existing technologies do not support the resource constrained devices efficiently. ICN is a promising new future Internet architecture and IoT can greatly benefit by using ICN. In this topic, you will explore the existing ICN proposals for IoT and will specifically work on naming challenges in IoT with ICN.
| Sripriya Adhatarao (adhatarao@cs.uni-goettingen.de)
| [https://standards.ieee.org/findstds/standard/802.15.4-2015.html] [https://datatracker.ietf.org/wg/6lowpan/documents/] [https://www.lora-alliance.org/] [http://www.zigbee.org/] [http://threadgroup.org]
|-
| '''Crawling the Internet''' (Assigned to : Hanna Holderied)
Many services specifically including Google use crawlers to systematically browse the Internet for Indexing and other purposes. In this task you will explore the different types of crawlers that exist in the internet and what are they used for. You will perform a research on how these crawlers work and what their results are used for. This topic can also lead to a potential Master project/thesis.
| Sripriya Adhatarao (adhatarao@cs.uni-goettingen.de)
|-
|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Practical Course Networking Lab (Winter 2017/2018)

2017-10-23T12:15:48Z

Skulkar: /* Lab Slots */

{{Announcement|Note: Please register by 30/10/2017 to be eligible for the examination. }}

{{Announcement|Note: The examination date will be flexible and can be arranged based on the availability of Mayutan and your team. }}

{{Announcement|Note: We won't be having the block course at the end of this semester, please wait till the start of the next semester for more slots}}

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad], [https://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya Srikant Adhatarao]
|time= organizational meeting - October 20, 14:00-16:00
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=203790&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course mailing list by subscribing to [https://listserv.gwdg.de/mailman/listinfo/network_lab]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks.
Each team is expected to complete those exercises and compile a short written report every week.
*Note: You do not need to submit the weekly reports, but complete all the exercises, and at the end of the course submit a single report of the lab exercises.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid October onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2017''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | ''' TBA '''
| {{BgGreen}} | ''' TBA '''
| {{BgGreen}} | ''' TBA '''
| {{BgGreen}} | '''Ansgar Leubrecht and Dennis Plaumann (~10:00 AM) '''
| {{BgGreen}} | ''' TBA '''

|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Winter 2017/2018)

2017-10-18T12:29:44Z

Skulkar: /* Details */

{{Announcement|Note: Please register by 30/10/2017 to be eligible for the examination. }}

{{Announcement|Note: The examination date will be flexible and can be arranged based on the availability of Mayutan and your team. }}

{{Announcement|Note: We won't be having the block course at the end of this semester, please wait till the start of the next semester for more slots}}

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad], [https://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya Srikant Adhatarao]
|time= organizational meeting - October 20, 14:00-16:00
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=203790&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course mailing list by subscribing to [https://listserv.gwdg.de/mailman/listinfo/network_lab]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks.
Each team is expected to complete those exercises and compile a short written report every week.
*Note: You do not need to submit the weekly reports, but complete all the exercises, and at the end of the course submit a single report of the lab exercises.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid October onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2017''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
|-
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Winter 2017/2018)

2017-10-10T14:47:06Z

Skulkar: /* Weekly exercises and written reports */

{{Announcement|Note: Please register by 30/10/2017 to be eligible for the examination. }}

{{Announcement|Note: The examination date will be flexible and can be arranged based on the availability of Mayutan and your team. }}

{{Announcement|Note: We won't be having the block course at the end of this semester, please wait till the start of the next semester for more slots}}

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad], [https://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya Srikant Adhatarao]
|time= organizational meeting - October 20, 12:00-14:00
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=203790&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course mailing list by subscribing to [https://listserv.gwdg.de/mailman/listinfo/network_lab]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks.
Each team is expected to complete those exercises and compile a short written report every week.
*Note: You do not need to submit the weekly reports, but complete all the exercises, and at the end of the course submit a single report of the lab exercises.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid October onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2017''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
|-
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
| {{BgGreen}} | ''' '''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Seminar on Internet Technologies (Winter 2017/2018)

2017-10-05T09:46:36Z

Skulkar: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/Tao_Zhao Tao Zhao]
|time=Oct 19, 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''Oct. 19, 16:00ct''': Introduction meeting
* '''TBD''' : Deadline for registration
* '''TBD''' : Presentations
* '''Mar. 31, 2018, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| '''Strengths and Limitations of Visualization Libraries for Data Science''' (partially practical)
One core aspect of Data Science is data visualization. For this task, data scientists can exploit a plethora of different visualization libraries in different programming languages.
The goal of this seminar topic is to work out advantages and disadvantages of each library and to show the key differences in practical examples based on a real-world dataset.
Please note that students interested in this topic should be confident programmers in one of Python or R, and additionally in JavaScript, and ideally bring along some practical experience in data analysis/data mining.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://www.kdnuggets.com/2015/05/21-essential-data-visualization-tools.html]
|-
| '''A survey of clustering algorithms'''
Clustering is the unsupervised learning algorithm which groups unlabeled data into similar sub-groups. The clustering problem has been addressed in many contexts (social network, structure biological network ..). In this topic, we review and compare different approach address this problem. There are two main “small topics”:
a, Non-model based algorithms: Kmeans, spectral clustering, DBSCAN ..
b, A probabilistic model-based algorithm: Expectation Maximization, Gibbs sampler for Gaussian mixture model.
There are some useful practical parts which help students apply algorithms in real data.
| Thach Nguyen (Chuong-Thach.Nguyen@mpibpc.mpg.de)
| [https://pdfs.semanticscholar.org/26f1/78dbb00630ce19cccb9840ea12dbe31801be.pdf][http://papers.nips.cc/paper/2092-on-spectral-clustering-analysis-and-an-algorithm.pdf]
|-
| '''Transfer Learning for Visual Categorization (assigned to Shaheer Asghar)'''
Regular machine learning and data mining techniques study the training data for future inferences under a major assumption that the future data are within the same feature space or have the same distribution as the training data. However, due to the limited availability of human labeled training data, training data that stay in the same feature space or have the same distribution as the future data cannot be guaranteed to be sufficient enough to avoid the over-fitting problem. In real-world applications, apart from data in the target domain, related data in a different domain can also be included to expand the availability of our prior knowledge about the target future data. Transfer learning addresses such cross-domain learning problems by extracting useful information from data in a related domain and transferring them for being used in target tasks. In this work, this task is to provide a comprehensive study of state-of-the-art transfer learning algorithms in visual categorization applications, such as object recognition, image classification, and human action recognition. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [http://ieeexplore.ieee.org/abstract/document/6847217/]
|-
| '''A Survey on Semi-Supervised Learning Techniques'''
Semisupervised learning is a learning standard which deals with the study of how computers and natural systems such as human beings acquire knowledge in the presence of both labeled and unlabeled data. Semisupervised learning based methods are preferred when compared to the supervised and unsupervised learning because of the improved performance shown by the semisupervised approaches in the presence of large volumes of data. Labels are very hard to attain while unlabeled data are surplus, therefore semisupervised learning is a noble indication to shrink human labor and improve accuracy. In this work, this task is to survey some of the key approaches for semi-supervised learning. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://arxiv.org/abs/1402.4645]
|-
| '''A Survey on Multi-view Learning'''
In recent years, a great many methods of learning from multi-view data by considering the diversity of different views have been proposed. These views may be obtained from multiple sources or different feature subsets. In this work, this task is to survey a number of representative multi-view learning algorithms in different areas and organize and highlight similarities and differences between the variety of multi-view learning approaches. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://arxiv.org/abs/1304.5634]
|-
| '''Industrie 4.0: Networking prospective and challenges '''
Germany is targeting reach Industry 4.0 stage in factories. You should survey all requirements from networking prospective and the main challenges.
'''NOTE:'''This topic could be a good entry for master project and thesis later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|[http://www.plattform-i40.de/I40/Navigation/DE/Home/home.html][https://en.wikipedia.org/wiki/Industry_4.0][https://www.bmbf.de/de/zukunftsprojekt-industrie-4-0-848.html]
|-
| '''Segment Routing - a Survey'''
Segment Routing or SPRING project is getting more attention to the advantages that it promised to deliver. Initial demos on top of MPLS and IPv6 show big impact on terms of scalability, simplicity and performance. You should concentrate on SRv6 and SDN integration.
'''NOTE:'''This topic could be a good entry for master project and thesis later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|[http://www.segment-routing.net/][https://www.youtube.com/watch?v=BEo5MdB3o3Y][http://ieeexplore.ieee.org/abstract/document/7417124/]
|-
| '''Open Topic'''
This is one slot which is open for any student who has an idea on a new Internet Technology. This idea should not be addressed in the course in the last two years and related some how to the computer networks. To win with this slot, simply write me a short description of the technology and state three main references which you will use later for research.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|
|-
| '''A Review of Relational Machine Learning for Knowledge Graphs'''
Traditional machine learning algorithms take as input a feature vector, which represents an object in terms of numeric or categorical attributes. The main learning task is to learn a mapping from this feature vector to an output prediction of some form. In Statistical Relational Learning (SRL), the representation of an object can contain its relationships to other objects. Thus the data is in the form of a graph, consisting of nodes (entities) and labelled edges (relationships between entities). The main goals of SRL include prediction of missing edges, prediction of properties of nodes, and clustering nodes based on their connectivity patterns. The task is to review a variety of techniques from the SRL community and explain how they can be applied to large-scale knowledge graphs (KGs), i.e., graph structured knowledge bases (KBs) that store factual information in form of relationships between entities.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://ieeexplore.ieee.org/document/7358050/]
|-
| '''Deep Learning'''
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech. The main task is to summarize some representative application scenarios of deep learning in big data analysis.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://www.nature.com/nature/journal/v521/n7553/abs/nature14539.html?foxtrotcallback=true][http://dl.acm.org/citation.cfm?id=3092831]
|-
| '''Parallel Processing Systems for Big Data'''
The volume, variety, and velocity properties of big data and the valuable information it contains have motivated the investigation of many new parallel data processing systems in addition to the approaches using traditional database management systems (DBMSs). The task is to explore new research opportunities and assist users in selecting suitable processing systems for specific applications, considering the existing parallel data processing systems categorized by the data input as batch processing, stream processing, graph processing, and machine learning processing and introduce representative projects in each category.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://ieeexplore.ieee.org/abstract/document/7547948/]
|-
|'''ICN - Information Centric Networking'''

Content Centric Networking (CCN) is a new ambitious proposal to replace the IP protocol. A better and faster content distribution, improved privacy, integrated cryptography and easy P2P communication are among the key elements of this architecture. On the other hand problems like efficiency and scalability of the name-based routing, support of existing application and new ones and the possibility to actually deploy this technology are still open and actively discussed, making CCN one of the most active research field in networking.

By choosing this topic you will gain a general knowledge of the many architecture proposed for ICN and will have to gain insight into one of the problems like routing or security, or solutions (i.e. applications on top of NDN).

- '''topics available''': Routing in ICN, IoT with ICN, ICN Architectures
- [http://named-data.net/wp-content/uploads/2013/10/ndn-annualreport2012-2013.pdf NDN technical report]
- [http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
| Sripriya Adhatarao and Jacopo De Benedetto
Email: adhatarao@cs.uni-goettingen.de , jacopo.de-benedetto@cs.uni-goettingen.de
|For general introduction:
*[http://named-data.net/a-new-way-to-look-at-networking/ Video presenting NDN]
*[http://named-data.net/wp-content/uploads/Jacob.pdf First proposal on Content Centric Networking]
*[http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
|-
|-
| '''Towards SDN and NFV Fault Management and High Availability'''
Network Function Virtualisation (NFV), is gaining rapid momentum, but are they reliable? can they conform with the Telecom operators latency and availability requirements of Fine Nines or Six Nines? The focus of this work is to first study and understand the concerns with NFV in terms of their failures, what amount of availability can they support. Second, study the state-of-the-art in terms of techniques that have been provided in the Cloud and Data Center networks for the traditional Virtual Machine based approaches and make the clear distinction of what aspects can and cannot be adapted? and what are the characteristics of NFV that make them differ from traditional VM based solutions? and aspects and solutions that can be adapted to achieve scalability, efficiency, and reliability in the NFV environments.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://www.etsi.org/deliver/etsi_gs/NFV-REL/001_099/002/01.01.01_60/gs_NFV-REL002v010101p.pdf] [https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper3.pdf] [https://datatracker.ietf.org/rg/nfvrg/documents/] [https://www.opnfv.org]
|-

|-
|'''Service Plane for Network Functions: Network Service Headers and Other alternatives'''

Focus of this topic is to understand 'Service Function Chaining of Network Functions', the state-of-the-art proposals like Network Service Headers and related academic works. Reason and justify the need for service plane and then try to propose new mechanisms and design of the data plane to support network services, and the control plane functions necessary to manage these data plane functions.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6733615] [http://conferences2.sigcomm.org/acm-icn/2014/papers/p107.pdf] [https://tools.ietf.org/pdf/draft-quinn-sfc-nsh-07.pdf]

|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Winter 2017/2018)

2017-10-05T09:44:40Z

Skulkar: Undo revision 5266 by Skulkar (talk)

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/Tao_Zhao Tao Zhao]
|time=Oct 19, 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''Oct. 19, 16:00ct''': Introduction meeting
* '''TBD''' : Deadline for registration
* '''TBD''' : Presentations
* '''Mar. 31, 2018, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| '''Strengths and Limitations of Visualization Libraries for Data Science''' (partially practical)
One core aspect of Data Science is data visualization. For this task, data scientists can exploit a plethora of different visualization libraries in different programming languages.
The goal of this seminar topic is to work out advantages and disadvantages of each library and to show the key differences in practical examples based on a real-world dataset.
Please note that students interested in this topic should be confident programmers in one of Python or R, and additionally in JavaScript, and ideally bring along some practical experience in data analysis/data mining.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://www.kdnuggets.com/2015/05/21-essential-data-visualization-tools.html]
|-
| '''A survey of clustering algorithms'''
Clustering is the unsupervised learning algorithm which groups unlabeled data into similar sub-groups. The clustering problem has been addressed in many contexts (social network, structure biological network ..). In this topic, we review and compare different approach address this problem. There are two main “small topics”:
a, Non-model based algorithms: Kmeans, spectral clustering, DBSCAN ..
b, A probabilistic model-based algorithm: Expectation Maximization, Gibbs sampler for Gaussian mixture model.
There are some useful practical parts which help students apply algorithms in real data.
| Thach Nguyen (Chuong-Thach.Nguyen@mpibpc.mpg.de)
| [https://pdfs.semanticscholar.org/26f1/78dbb00630ce19cccb9840ea12dbe31801be.pdf][http://papers.nips.cc/paper/2092-on-spectral-clustering-analysis-and-an-algorithm.pdf]
|-
| '''Transfer Learning for Visual Categorization (assigned to Shaheer Asghar)'''
Regular machine learning and data mining techniques study the training data for future inferences under a major assumption that the future data are within the same feature space or have the same distribution as the training data. However, due to the limited availability of human labeled training data, training data that stay in the same feature space or have the same distribution as the future data cannot be guaranteed to be sufficient enough to avoid the over-fitting problem. In real-world applications, apart from data in the target domain, related data in a different domain can also be included to expand the availability of our prior knowledge about the target future data. Transfer learning addresses such cross-domain learning problems by extracting useful information from data in a related domain and transferring them for being used in target tasks. In this work, this task is to provide a comprehensive study of state-of-the-art transfer learning algorithms in visual categorization applications, such as object recognition, image classification, and human action recognition. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [http://ieeexplore.ieee.org/abstract/document/6847217/]
|-
| '''A Survey on Semi-Supervised Learning Techniques'''
Semisupervised learning is a learning standard which deals with the study of how computers and natural systems such as human beings acquire knowledge in the presence of both labeled and unlabeled data. Semisupervised learning based methods are preferred when compared to the supervised and unsupervised learning because of the improved performance shown by the semisupervised approaches in the presence of large volumes of data. Labels are very hard to attain while unlabeled data are surplus, therefore semisupervised learning is a noble indication to shrink human labor and improve accuracy. In this work, this task is to survey some of the key approaches for semi-supervised learning. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://arxiv.org/abs/1402.4645]
|-
| '''A Survey on Multi-view Learning'''
In recent years, a great many methods of learning from multi-view data by considering the diversity of different views have been proposed. These views may be obtained from multiple sources or different feature subsets. In this work, this task is to survey a number of representative multi-view learning algorithms in different areas and organize and highlight similarities and differences between the variety of multi-view learning approaches. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://arxiv.org/abs/1304.5634]
|-
| '''Industrie 4.0: Networking prospective and challenges '''
Germany is targeting reach Industry 4.0 stage in factories. You should survey all requirements from networking prospective and the main challenges.
'''NOTE:'''This topic could be a good entry for master project and thesis later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|[http://www.plattform-i40.de/I40/Navigation/DE/Home/home.html][https://en.wikipedia.org/wiki/Industry_4.0][https://www.bmbf.de/de/zukunftsprojekt-industrie-4-0-848.html]
|-
| '''Segment Routing - a Survey'''
Segment Routing or SPRING project is getting more attention to the advantages that it promised to deliver. Initial demos on top of MPLS and IPv6 show big impact on terms of scalability, simplicity and performance. You should concentrate on SRv6 and SDN integration.
'''NOTE:'''This topic could be a good entry for master project and thesis later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|[http://www.segment-routing.net/][https://www.youtube.com/watch?v=BEo5MdB3o3Y][http://ieeexplore.ieee.org/abstract/document/7417124/]
|-
| '''Open Topic'''
This is one slot which is open for any student who has an idea on a new Internet Technology. This idea should not be addressed in the course in the last two years and related some how to the computer networks. To win with this slot, simply write me a short description of the technology and state three main references which you will use later for research.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|
|-
| '''A Review of Relational Machine Learning for Knowledge Graphs'''
Traditional machine learning algorithms take as input a feature vector, which represents an object in terms of numeric or categorical attributes. The main learning task is to learn a mapping from this feature vector to an output prediction of some form. In Statistical Relational Learning (SRL), the representation of an object can contain its relationships to other objects. Thus the data is in the form of a graph, consisting of nodes (entities) and labelled edges (relationships between entities). The main goals of SRL include prediction of missing edges, prediction of properties of nodes, and clustering nodes based on their connectivity patterns. The task is to review a variety of techniques from the SRL community and explain how they can be applied to large-scale knowledge graphs (KGs), i.e., graph structured knowledge bases (KBs) that store factual information in form of relationships between entities.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://ieeexplore.ieee.org/document/7358050/]
|-
| '''Deep Learning'''
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech. The main task is to summarize some representative application scenarios of deep learning in big data analysis.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://www.nature.com/nature/journal/v521/n7553/abs/nature14539.html?foxtrotcallback=true][http://dl.acm.org/citation.cfm?id=3092831]
|-
| '''Parallel Processing Systems for Big Data'''
The volume, variety, and velocity properties of big data and the valuable information it contains have motivated the investigation of many new parallel data processing systems in addition to the approaches using traditional database management systems (DBMSs). The task is to explore new research opportunities and assist users in selecting suitable processing systems for specific applications, considering the existing parallel data processing systems categorized by the data input as batch processing, stream processing, graph processing, and machine learning processing and introduce representative projects in each category.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://ieeexplore.ieee.org/abstract/document/7547948/]
|-
|'''ICN - Information Centric Networking'''

Content Centric Networking (CCN) is a new ambitious proposal to replace the IP protocol. A better and faster content distribution, improved privacy, integrated cryptography and easy P2P communication are among the key elements of this architecture. On the other hand problems like efficiency and scalability of the name-based routing, support of existing application and new ones and the possibility to actually deploy this technology are still open and actively discussed, making CCN one of the most active research field in networking.

By choosing this topic you will gain a general knowledge of the many architecture proposed for ICN and will have to gain insight into one of the problems like routing or security, or solutions (i.e. applications on top of NDN).

- '''topics available''': Routing in ICN, IoT with ICN, ICN Architectures
- [http://named-data.net/wp-content/uploads/2013/10/ndn-annualreport2012-2013.pdf NDN technical report]
- [http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
| Sripriya Adhatarao and Jacopo De Benedetto
Email: adhatarao@cs.uni-goettingen.de , jacopo.de-benedetto@cs.uni-goettingen.de
|For general introduction:
*[http://named-data.net/a-new-way-to-look-at-networking/ Video presenting NDN]
*[http://named-data.net/wp-content/uploads/Jacob.pdf First proposal on Content Centric Networking]
*[http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
|-
|-
| '''Towards SDN and NFV Fault Management and High Availability'''
Network Function Virtualisation (NFV), is gaining rapid momentum, but are they reliable? can they conform with the Telecom operators latency and availability requirements of Fine Nines or Six Nines? The focus of this work is to first study and understand the concerns with NFV in terms of their failures, what amount of availability can they support. Second, study the state-of-the-art in terms of techniques that have been provided in the Cloud and Data Center networks for the traditional Virtual Machine based approaches and make the clear distinction of what aspects can and cannot be adapted? and what are the characteristics of NFV that make them differ from traditional VM based solutions? and aspects and solutions that can be adapted to achieve scalability, efficiency, and reliability in the NFV environments.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://www.etsi.org/deliver/etsi_gs/NFV-REL/001_099/002/01.01.01_60/gs_NFV-REL002v010101p.pdf] [https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper3.pdf] [https://datatracker.ietf.org/rg/nfvrg/documents/] [https://www.opnfv.org]
|-

|-
|'''Service Plane for Network Functions: Network Service Headers and Other alternatives'''

Focus of this topic is to understand 'Service Function Chaining of Network Functions', the state-of-the-art proposals like Network Service Headers and related academic works. Reason and justify the need for service plane and then try to propose new mechanisms and design of the data plane to support network services, and the control plane functions necessary to manage these data plane functions.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6733615] [http://conferences2.sigcomm.org/acm-icn/2014/papers/p107.pdf] [https://tools.ietf.org/pdf/draft-quinn-sfc-nsh-07.pdf]
}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Winter 2017/2018)

2017-10-05T09:42:39Z

Skulkar: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/Tao_Zhao Tao Zhao]
|time=Oct 19, 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''Oct. 19, 16:00ct''': Introduction meeting
* '''TBD''' : Deadline for registration
* '''TBD''' : Presentations
* '''Mar. 31, 2018, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| '''Strengths and Limitations of Visualization Libraries for Data Science''' (partially practical)
One core aspect of Data Science is data visualization. For this task, data scientists can exploit a plethora of different visualization libraries in different programming languages.
The goal of this seminar topic is to work out advantages and disadvantages of each library and to show the key differences in practical examples based on a real-world dataset.
Please note that students interested in this topic should be confident programmers in one of Python or R, and additionally in JavaScript, and ideally bring along some practical experience in data analysis/data mining.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://www.kdnuggets.com/2015/05/21-essential-data-visualization-tools.html]
|-
| '''A survey of clustering algorithms'''
Clustering is the unsupervised learning algorithm which groups unlabeled data into similar sub-groups. The clustering problem has been addressed in many contexts (social network, structure biological network ..). In this topic, we review and compare different approach address this problem. There are two main “small topics”:
a, Non-model based algorithms: Kmeans, spectral clustering, DBSCAN ..
b, A probabilistic model-based algorithm: Expectation Maximization, Gibbs sampler for Gaussian mixture model.
There are some useful practical parts which help students apply algorithms in real data.
| Thach Nguyen (Chuong-Thach.Nguyen@mpibpc.mpg.de)
| [https://pdfs.semanticscholar.org/26f1/78dbb00630ce19cccb9840ea12dbe31801be.pdf][http://papers.nips.cc/paper/2092-on-spectral-clustering-analysis-and-an-algorithm.pdf]
|-
| '''Transfer Learning for Visual Categorization (assigned to Shaheer Asghar)'''
Regular machine learning and data mining techniques study the training data for future inferences under a major assumption that the future data are within the same feature space or have the same distribution as the training data. However, due to the limited availability of human labeled training data, training data that stay in the same feature space or have the same distribution as the future data cannot be guaranteed to be sufficient enough to avoid the over-fitting problem. In real-world applications, apart from data in the target domain, related data in a different domain can also be included to expand the availability of our prior knowledge about the target future data. Transfer learning addresses such cross-domain learning problems by extracting useful information from data in a related domain and transferring them for being used in target tasks. In this work, this task is to provide a comprehensive study of state-of-the-art transfer learning algorithms in visual categorization applications, such as object recognition, image classification, and human action recognition. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [http://ieeexplore.ieee.org/abstract/document/6847217/]
|-
| '''A Survey on Semi-Supervised Learning Techniques'''
Semisupervised learning is a learning standard which deals with the study of how computers and natural systems such as human beings acquire knowledge in the presence of both labeled and unlabeled data. Semisupervised learning based methods are preferred when compared to the supervised and unsupervised learning because of the improved performance shown by the semisupervised approaches in the presence of large volumes of data. Labels are very hard to attain while unlabeled data are surplus, therefore semisupervised learning is a noble indication to shrink human labor and improve accuracy. In this work, this task is to survey some of the key approaches for semi-supervised learning. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://arxiv.org/abs/1402.4645]
|-
| '''A Survey on Multi-view Learning'''
In recent years, a great many methods of learning from multi-view data by considering the diversity of different views have been proposed. These views may be obtained from multiple sources or different feature subsets. In this work, this task is to survey a number of representative multi-view learning algorithms in different areas and organize and highlight similarities and differences between the variety of multi-view learning approaches. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://arxiv.org/abs/1304.5634]
|-
| '''Industrie 4.0: Networking prospective and challenges '''
Germany is targeting reach Industry 4.0 stage in factories. You should survey all requirements from networking prospective and the main challenges.
'''NOTE:'''This topic could be a good entry for master project and thesis later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|[http://www.plattform-i40.de/I40/Navigation/DE/Home/home.html][https://en.wikipedia.org/wiki/Industry_4.0][https://www.bmbf.de/de/zukunftsprojekt-industrie-4-0-848.html]
|-
| '''Segment Routing - a Survey'''
Segment Routing or SPRING project is getting more attention to the advantages that it promised to deliver. Initial demos on top of MPLS and IPv6 show big impact on terms of scalability, simplicity and performance. You should concentrate on SRv6 and SDN integration.
'''NOTE:'''This topic could be a good entry for master project and thesis later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|[http://www.segment-routing.net/][https://www.youtube.com/watch?v=BEo5MdB3o3Y][http://ieeexplore.ieee.org/abstract/document/7417124/]
|-
| '''Open Topic'''
This is one slot which is open for any student who has an idea on a new Internet Technology. This idea should not be addressed in the course in the last two years and related some how to the computer networks. To win with this slot, simply write me a short description of the technology and state three main references which you will use later for research.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|
|-
| '''A Review of Relational Machine Learning for Knowledge Graphs'''
Traditional machine learning algorithms take as input a feature vector, which represents an object in terms of numeric or categorical attributes. The main learning task is to learn a mapping from this feature vector to an output prediction of some form. In Statistical Relational Learning (SRL), the representation of an object can contain its relationships to other objects. Thus the data is in the form of a graph, consisting of nodes (entities) and labelled edges (relationships between entities). The main goals of SRL include prediction of missing edges, prediction of properties of nodes, and clustering nodes based on their connectivity patterns. The task is to review a variety of techniques from the SRL community and explain how they can be applied to large-scale knowledge graphs (KGs), i.e., graph structured knowledge bases (KBs) that store factual information in form of relationships between entities.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://ieeexplore.ieee.org/document/7358050/]
|-
| '''Deep Learning'''
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech. The main task is to summarize some representative application scenarios of deep learning in big data analysis.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://www.nature.com/nature/journal/v521/n7553/abs/nature14539.html?foxtrotcallback=true][http://dl.acm.org/citation.cfm?id=3092831]
|-
| '''Parallel Processing Systems for Big Data'''
The volume, variety, and velocity properties of big data and the valuable information it contains have motivated the investigation of many new parallel data processing systems in addition to the approaches using traditional database management systems (DBMSs). The task is to explore new research opportunities and assist users in selecting suitable processing systems for specific applications, considering the existing parallel data processing systems categorized by the data input as batch processing, stream processing, graph processing, and machine learning processing and introduce representative projects in each category.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://ieeexplore.ieee.org/abstract/document/7547948/]
|-
|'''ICN - Information Centric Networking'''

Content Centric Networking (CCN) is a new ambitious proposal to replace the IP protocol. A better and faster content distribution, improved privacy, integrated cryptography and easy P2P communication are among the key elements of this architecture. On the other hand problems like efficiency and scalability of the name-based routing, support of existing application and new ones and the possibility to actually deploy this technology are still open and actively discussed, making CCN one of the most active research field in networking.

By choosing this topic you will gain a general knowledge of the many architecture proposed for ICN and will have to gain insight into one of the problems like routing or security, or solutions (i.e. applications on top of NDN).

- '''topics available''': Routing in ICN, IoT with ICN, ICN Architectures
- [http://named-data.net/wp-content/uploads/2013/10/ndn-annualreport2012-2013.pdf NDN technical report]
- [http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
| Sripriya Adhatarao and Jacopo De Benedetto
Email: adhatarao@cs.uni-goettingen.de , jacopo.de-benedetto@cs.uni-goettingen.de
|For general introduction:
*[http://named-data.net/a-new-way-to-look-at-networking/ Video presenting NDN]
*[http://named-data.net/wp-content/uploads/Jacob.pdf First proposal on Content Centric Networking]
*[http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
|-
|-
| '''Towards SDN and NFV Fault Management and High Availability'''
Network Function Virtualisation (NFV), is gaining rapid momentum, but are they reliable? can they conform with the Telecom operators latency and availability requirements of Fine Nines or Six Nines? The focus of this work is to first study and understand the concerns with NFV in terms of their failures, what amount of availability can they support. Second, study the state-of-the-art in terms of techniques that have been provided in the Cloud and Data Center networks for the traditional Virtual Machine based approaches and make the clear distinction of what aspects can and cannot be adapted? and what are the characteristics of NFV that make them differ from traditional VM based solutions? and aspects and solutions that can be adapted to achieve scalability, efficiency, and reliability in the NFV environments.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://www.etsi.org/deliver/etsi_gs/NFV-REL/001_099/002/01.01.01_60/gs_NFV-REL002v010101p.pdf] [https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper3.pdf] [https://datatracker.ietf.org/rg/nfvrg/documents/] [https://www.opnfv.org]
|-

|-
|'''Service Plane for Network Functions: Network Service Headers and Other alternatives'''

Focus of this topic is to understand 'Service Function Chaining of Network Functions', the state-of-the-art proposals like Network Service Headers and related academic works. Reason and justify the need for service plane and then try to propose new mechanisms and design of the data plane to support network services, and the control plane functions necessary to manage these data plane functions.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6733615] [http://conferences2.sigcomm.org/acm-icn/2014/papers/p107.pdf] [https://tools.ietf.org/pdf/draft-quinn-sfc-nsh-07.pdf]
-|
}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Winter 2017/2018)

2017-10-05T09:39:39Z

Skulkar: /* Topics */

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://user.informatik.uni-goettingen.de/~fu Prof. Xiaoming Fu]
|ta=[http://www.net.informatik.uni-goettingen.de/people/Tao_Zhao Tao Zhao]
|time=Oct 19, 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

Due to topic advisors' workload limitation, we could only provide limited topics, and the topic assignment will be on the basis of first come first serve principle. Please contact the topic advisor directly for the topic availability.

Note: Participants in the seminar only need to register the exam before the end of the course.

==Passing requirements==
*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''Oct. 19, 16:00ct''': Introduction meeting
* '''TBD''' : Deadline for registration
* '''TBD''' : Presentations
* '''Mar. 31, 2018, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| '''Strengths and Limitations of Visualization Libraries for Data Science''' (partially practical)
One core aspect of Data Science is data visualization. For this task, data scientists can exploit a plethora of different visualization libraries in different programming languages.
The goal of this seminar topic is to work out advantages and disadvantages of each library and to show the key differences in practical examples based on a real-world dataset.
Please note that students interested in this topic should be confident programmers in one of Python or R, and additionally in JavaScript, and ideally bring along some practical experience in data analysis/data mining.
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| [http://www.kdnuggets.com/2015/05/21-essential-data-visualization-tools.html]
|-
| '''A survey of clustering algorithms'''
Clustering is the unsupervised learning algorithm which groups unlabeled data into similar sub-groups. The clustering problem has been addressed in many contexts (social network, structure biological network ..). In this topic, we review and compare different approach address this problem. There are two main “small topics”:
a, Non-model based algorithms: Kmeans, spectral clustering, DBSCAN ..
b, A probabilistic model-based algorithm: Expectation Maximization, Gibbs sampler for Gaussian mixture model.
There are some useful practical parts which help students apply algorithms in real data.
| Thach Nguyen (Chuong-Thach.Nguyen@mpibpc.mpg.de)
| [https://pdfs.semanticscholar.org/26f1/78dbb00630ce19cccb9840ea12dbe31801be.pdf][http://papers.nips.cc/paper/2092-on-spectral-clustering-analysis-and-an-algorithm.pdf]
|-
| '''Transfer Learning for Visual Categorization (assigned to Shaheer Asghar)'''
Regular machine learning and data mining techniques study the training data for future inferences under a major assumption that the future data are within the same feature space or have the same distribution as the training data. However, due to the limited availability of human labeled training data, training data that stay in the same feature space or have the same distribution as the future data cannot be guaranteed to be sufficient enough to avoid the over-fitting problem. In real-world applications, apart from data in the target domain, related data in a different domain can also be included to expand the availability of our prior knowledge about the target future data. Transfer learning addresses such cross-domain learning problems by extracting useful information from data in a related domain and transferring them for being used in target tasks. In this work, this task is to provide a comprehensive study of state-of-the-art transfer learning algorithms in visual categorization applications, such as object recognition, image classification, and human action recognition. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [http://ieeexplore.ieee.org/abstract/document/6847217/]
|-
| '''A Survey on Semi-Supervised Learning Techniques'''
Semisupervised learning is a learning standard which deals with the study of how computers and natural systems such as human beings acquire knowledge in the presence of both labeled and unlabeled data. Semisupervised learning based methods are preferred when compared to the supervised and unsupervised learning because of the improved performance shown by the semisupervised approaches in the presence of large volumes of data. Labels are very hard to attain while unlabeled data are surplus, therefore semisupervised learning is a noble indication to shrink human labor and improve accuracy. In this work, this task is to survey some of the key approaches for semi-supervised learning. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://arxiv.org/abs/1402.4645]
|-
| '''A Survey on Multi-view Learning'''
In recent years, a great many methods of learning from multi-view data by considering the diversity of different views have been proposed. These views may be obtained from multiple sources or different feature subsets. In this work, this task is to survey a number of representative multi-view learning algorithms in different areas and organize and highlight similarities and differences between the variety of multi-view learning approaches. Note that this topic requires a comparatively high reading effort.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://arxiv.org/abs/1304.5634]
|-
| '''Industrie 4.0: Networking prospective and challenges '''
Germany is targeting reach Industry 4.0 stage in factories. You should survey all requirements from networking prospective and the main challenges.
'''NOTE:'''This topic could be a good entry for master project and thesis later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|[http://www.plattform-i40.de/I40/Navigation/DE/Home/home.html][https://en.wikipedia.org/wiki/Industry_4.0][https://www.bmbf.de/de/zukunftsprojekt-industrie-4-0-848.html]
|-
| '''Segment Routing - a Survey'''
Segment Routing or SPRING project is getting more attention to the advantages that it promised to deliver. Initial demos on top of MPLS and IPv6 show big impact on terms of scalability, simplicity and performance. You should concentrate on SRv6 and SDN integration.
'''NOTE:'''This topic could be a good entry for master project and thesis later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|[http://www.segment-routing.net/][https://www.youtube.com/watch?v=BEo5MdB3o3Y][http://ieeexplore.ieee.org/abstract/document/7417124/]
|-
| '''Open Topic'''
This is one slot which is open for any student who has an idea on a new Internet Technology. This idea should not be addressed in the course in the last two years and related some how to the computer networks. To win with this slot, simply write me a short description of the technology and state three main references which you will use later for research.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
|
|-
| '''A Review of Relational Machine Learning for Knowledge Graphs'''
Traditional machine learning algorithms take as input a feature vector, which represents an object in terms of numeric or categorical attributes. The main learning task is to learn a mapping from this feature vector to an output prediction of some form. In Statistical Relational Learning (SRL), the representation of an object can contain its relationships to other objects. Thus the data is in the form of a graph, consisting of nodes (entities) and labelled edges (relationships between entities). The main goals of SRL include prediction of missing edges, prediction of properties of nodes, and clustering nodes based on their connectivity patterns. The task is to review a variety of techniques from the SRL community and explain how they can be applied to large-scale knowledge graphs (KGs), i.e., graph structured knowledge bases (KBs) that store factual information in form of relationships between entities.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://ieeexplore.ieee.org/document/7358050/]
|-
| '''Deep Learning'''
Deep learning allows computational models that are composed of multiple processing layers to learn representations of data with multiple levels of abstraction. These methods have dramatically improved the state-of-the-art in speech recognition, visual object recognition, object detection and many other domains such as drug discovery and genomics. Deep learning discovers intricate structure in large data sets by using the backpropagation algorithm to indicate how a machine should change its internal parameters that are used to compute the representation in each layer from the representation in the previous layer. Deep convolutional nets have brought about breakthroughs in processing images, video, speech and audio, whereas recurrent nets have shone light on sequential data such as text and speech. The main task is to summarize some representative application scenarios of deep learning in big data analysis.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://www.nature.com/nature/journal/v521/n7553/abs/nature14539.html?foxtrotcallback=true][http://dl.acm.org/citation.cfm?id=3092831]
|-
| '''Parallel Processing Systems for Big Data'''
The volume, variety, and velocity properties of big data and the valuable information it contains have motivated the investigation of many new parallel data processing systems in addition to the approaches using traditional database management systems (DBMSs). The task is to explore new research opportunities and assist users in selecting suitable processing systems for specific applications, considering the existing parallel data processing systems categorized by the data input as batch processing, stream processing, graph processing, and machine learning processing and introduce representative projects in each category.
|Bo Zhao (bo.zhao@gwdg.de)
|[http://ieeexplore.ieee.org/abstract/document/7547948/]
|-
|'''ICN - Information Centric Networking'''

Content Centric Networking (CCN) is a new ambitious proposal to replace the IP protocol. A better and faster content distribution, improved privacy, integrated cryptography and easy P2P communication are among the key elements of this architecture. On the other hand problems like efficiency and scalability of the name-based routing, support of existing application and new ones and the possibility to actually deploy this technology are still open and actively discussed, making CCN one of the most active research field in networking.

By choosing this topic you will gain a general knowledge of the many architecture proposed for ICN and will have to gain insight into one of the problems like routing or security, or solutions (i.e. applications on top of NDN).

- '''topics available''': Routing in ICN, IoT with ICN, ICN Architectures
- [http://named-data.net/wp-content/uploads/2013/10/ndn-annualreport2012-2013.pdf NDN technical report]
- [http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
| Sripriya Adhatarao and Jacopo De Benedetto
Email: adhatarao@cs.uni-goettingen.de , jacopo.de-benedetto@cs.uni-goettingen.de
|For general introduction:
*[http://named-data.net/a-new-way-to-look-at-networking/ Video presenting NDN]
*[http://named-data.net/wp-content/uploads/Jacob.pdf First proposal on Content Centric Networking]
*[http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
|-
|-
| '''Towards SDN and NFV Fault Management and High Availability'''
Network Function Virtualisation (NFV), is gaining rapid momentum, but are they reliable? can they conform with the Telecom operators latency and availability requirements of Fine Nines or Six Nines? The focus of this work is to first study and understand the concerns with NFV in terms of their failures, what amount of availability can they support. Second, study the state-of-the-art in terms of techniques that have been provided in the Cloud and Data Center networks for the traditional Virtual Machine based approaches and make the clear distinction of what aspects can and cannot be adapted? and what are the characteristics of NFV that make them differ from traditional VM based solutions? and aspects and solutions that can be adapted to achieve scalability, efficiency, and reliability in the NFV environments.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://www.etsi.org/deliver/etsi_gs/NFV-REL/001_099/002/01.01.01_60/gs_NFV-REL002v010101p.pdf] [https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper3.pdf] [https://datatracker.ietf.org/rg/nfvrg/documents/] [https://www.opnfv.org]
|-

|-
|'''Service Plane for Network Functions: Network Service Headers and Other alternatives'''

Focus of this topic is to understand 'Service Function Chaining of Network Functions', the state-of-the-art proposals like Network Service Headers and related academic works. Reason and justify the need for service plane and then try to propose new mechanisms and design of the data plane to support network services, and the control plane functions necessary to manage these data plane functions.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6733615] [http://conferences2.sigcomm.org/acm-icn/2014/papers/p107.pdf] [https://tools.ietf.org/pdf/draft-quinn-sfc-nsh-07.pdf]
}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Practical Course Networking Lab (Summer 2017)

2017-05-01T17:24:11Z

Skulkar: /* Lab Slots */

{{Announcement|Note: Please register by 1/06/2017 to be eligible for the examination. }}

{{Announcement|Note: The examination date will be flexible and can be arranged based on the availability of Mayutan and your team. }}

{{Announcement|Note: We won't be having the block course at the end of this semester, please wait till the start of the next semester for more slots}}

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad], [https://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya Srikant Adhatarao]
|time= organizational meeting - April 21, 12:00-14:00
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=194981&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course mailing list by subscribing to [https://listserv.gwdg.de/mailman/listinfo/network_lab]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid April onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2017''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | '''Erik Peters and Peter Mailaender (~10:00 AM)'''
| {{BgGreen}} | '''Fabiola Buschendorf and Vanessa Steiner (~11:30 AM)'''
| {{BgGreen}} | '''Tobais Mueller and Philip Klostermeyer (09/11:00 AM)'''
| {{BgGreen}} | '''Simon Kiefhaber and Hendrik Mehrtens (~10:30 AM)'''
| {{BgGreen}} | '''Thomas Pach and Jan Tristan (09/11:00 AM)'''
|-
| {{BgGreen}} | '''--'''
| {{BgGreen}} | '''--'''
| {{BgGreen}} | '''Nellie Reichuann and Lukas Mayer (09/11:00 AM)'''
| {{BgGreen}} | '''--'''
| {{BgGreen}} | '''Nellie Reichuann and Lukas Mayer (09/11:00 AM)'''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Summer 2017)

2017-05-01T17:18:50Z

Skulkar: /* Lab Slots */

{{Announcement|Note: Please register by 1/06/2017 to be eligible for the examination. }}

{{Announcement|Note: The examination date will be flexible and can be arranged based on the availability of Mayutan and your team. }}

{{Announcement|Note: We won't be having the block course at the end of this semester, please wait till the start of the next semester for more slots}}

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni], [https://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad], [https://www.net.informatik.uni-goettingen.de/people/sripriya%20srikant_adhatarao Sripriya Srikant Adhatarao]
|time= organizational meeting - April 21, 12:00-14:00
|place=IfI 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=194981&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
An introduction to the lab course, including a tour of the actual lab will be given in the organizational meeting. Please see the table above for the date, time and room.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course mailing list by subscribing to [https://listserv.gwdg.de/mailman/listinfo/network_lab]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from mid April onwards. To register a team, send an email to [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] "sameer.kulkarni@informatik.uni-goettingen.de" with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2017''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | '''Erik Peters and Peter Mailaender'''
| {{BgGreen}} | '''Fabiola Buschendorf and Vanessa Steiner'''
| {{BgGreen}} | '''Tobais Mueller and Philip Klostermeyer'''
| {{BgGreen}} | '''Simon Kiefhaber and Hendrik Mehrtens'''
| {{BgGreen}} | '''Thomas Pach and Jan Tristan'''
|}

==Lab Slots during the semester break ==

This semester, we won't be having any block courses at the end of the semester. Please wait till the beginning of the next semester for more slots.

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2017)

2017-04-03T11:11:52Z

Skulkar: /* Topics */

Seminar on Internet Technologies (Winter 2016/2017)

2017-01-20T09:50:34Z

Skulkar:

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://www.net.informatik.uni-goettingen.de/people/Hong_Huang Dr. Hong Huang]
|ta=[http://www.net.informatik.uni-goettingen.de/people/Tao_Zhao Tao Zhao]
|time=Oct 20, 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

==Passing requirements==
*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''Oct. 20, 16:00ct''': Introduction meeting
* '''Feb. 2, 2017''' : Deadline for registration
* '''Feb. 9 and Feb. 16''' : Presentations
* '''Mar. 31, 2017, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| '''Why deep learning is suddenly changing your life?- A survey (assigned to Sudhir Kumar Sah)'''
This study is to provide a comprehensive survey on the key enabling technologies for deep learning.
| [http://www.net.informatik.uni-goettingen.de/people/Hong_Huang Hong Huang]
| [http://fortune.com/ai-artificial-intelligence-deep-machine-learning/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=revue]
|-
| '''Deep into Google Translate (assigned to Azadeh Amiri)'''
This study is to provide a comprehensive study of one of the Google products - Google translate and aim to understand the technologies behind it.
| [http://www.net.informatik.uni-goettingen.de/people/Hong_Huang Hong Huang]
| [https://research.googleblog.com/2016/09/a-neural-network-for-machine.html?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=revue]
|-
| '''Inferring social capital from big data (assigned to Bikash Chandra Karmokar)'''
This study is to discover the state of art of social capital measuring, particularly, from big data perspective.
| [http://www.net.informatik.uni-goettingen.de/people/Hong_Huang Hong Huang]
| [http://science.sciencemag.org/content/350/6264/1073][http://www.sciencedirect.com/science/article/pii/S0378873314000033]
|-
|'''An overview on deep learning framework(assigned to Mohammad Wazed Ali)'''
In this work, you will be asked to do a survey on all popular deep learning framework either in academe or industry, like tensorflow, caffe and so on. You shall elaborate their shortcomings and advantages.
|[http://www.net.informatik.uni-goettingen.de/people/Hong_Huang Hong Huang]
|[https://deeplearning4j.org/compare-dl4j-torch7-pylearn]
|-
| '''Towards a Pricing Model in NFV (assigned to Saidul Islam)'''
One of the untouched research areas in Network Function Virtualization (NFV) is Accounting Management. Your task is firstly identify the current Management systems that used in Data centers and cloud computing environments and later to map what you think it might be useful to NFV area. You should support your statement with logical reasons so far. It is not required to conducted any empirical work. Your work should investigate in some depth the exact relationship between different factors not only describing them.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7243304][http://store.elsevier.com/Cloud-Data-Centers-and-Cost-Modeling/Caesar-Wu/isbn-9780128014134/][https://wiki.net.informatik.uni-goettingen.de/wiki/List_of_Conferences_Journals]
|-
| '''Legacy support in SDN networks(assigned to Dorna Amiri)'''
Supporting legacy network is an active research area in SDN. You should survey all techniques used up to date to solve this problem. Details may be provided later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| Take a look at recent papers in well known conferences/workshops.
|-
| '''WiFi latest advances and Smart-wifi (assigned to Mojtaba Shabani)'''
A new generation of Wireless Local Area Networks (WLANs) will make its appearance in the market in the forthcoming years based on the amendments to the IEEE 802.11 standards that have recently been approved or are under development. Examples of the most expected ones are IEEE 802.11aa (Robust Audio Video Transport Streaming), IEEE 802.11ac (Very-high throughput at < 6 GHz), IEEE 802.11af (TV White Spaces) and IEEE 802.11ah (Machine-to-Machine communications) specifications. You should investigate the latest advances made in WiFi and in its usage to support other type of networks as LTE and G5.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| Take a look at recent papers in well known conferences/workshops.
|-
| '''What is the current status and future of cloud related research? What are the main research problems that are currently being targeted? (assigned to Georgios Kaklamanos)'''
Cloud computing and cloud based services have become an integral part of the Internet. The aim of this work is to study what research problems exist and also identify promising solutions. Topics pertaining to Data Centers are also of relevance.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| Take a look at recent papers in well known conferences/workshops.
|-
| '''What is the current status of congestion control protocols in ICN? (assigned to Ali Reza)'''
The aim of this work is to identify the congestion control related work in the ICN space.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| Take a look at recent papers in well known conferences/workshops.
|-
| '''Sponsored Search Auctions in Internet (Online advertisements Google Ads)(assigned to Han)'''
Sponsored search auctions are widely used by search engines like Google, Microsoft, for displaying ads when an user perform keyword search in goole.com/bing.com. The application of sponsored search auctions in not only limited to search engine providers but also has popular with online markets like eBay. The goal is to perform survey on the latest advancements in this area.
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
| [http://web.stanford.edu/~jdlevin/Econ%20285/Sponsored%20Search%20Auctions.pdf] [https://en.wikipedia.org/wiki/Sponsored_search_auction][http://dl.acm.org/citation.cfm?id=2668108]
|-
|'''Service Plane for Network Functions: Network Service Headers and Other alternatives (assigned to Zico Abhi Day)'''

Focus of this topic is to understand 'Service Function Chaining of Network Functions', the state-of-the-art proposals like Network Service Headers and related academic works. Reason and justify the need for service plane and then try to propose new mechanisms and design of the data plane to support network services, and the control plane functions necessary to manage these data plane functions.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6733615] [http://conferences2.sigcomm.org/acm-icn/2014/papers/p107.pdf] [https://tools.ietf.org/pdf/draft-quinn-sfc-nsh-07.pdf]
|-
|'''NFV state-of-the-art and Future trends - A survey <s>(assigned to Ishwarya Chandrasekaran)</s> withdrawn.'''
Study and Understand Network Function Virtualisation (NFV), the real world use cases and deployment trends of NFV in the Datacenter, telecommunication, private networks. Survey on the reports by standardisation committees and open workgroups like IEFT/ETSI/OPNFV, primarily the specification and requirements for the NFV, and the NFV deployment models. Compare with the available open-source/commercial products if any in the market and make the study of NFV characteristics, the Key Performance Index(KPIs) for NFV and identify the open issues and challenges towards adopting to NFV. Student can choose to carry out either breadth or in-depth on particular aspect of NFV.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper3.pdf] [https://datatracker.ietf.org/rg/nfvrg/documents/] [https://www.opnfv.org] [https://www.sdxcentral.com/reports/nfv-vnf-2016/vnf/] [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7350211]
|-
|-
| '''Towards SDN and NFV Fault Management and High Availability (assigned to Shakik Ahmed Chowdhury)'''
Network Function Virtualisation (NFV), is gaining rapid momentum, but are they reliable? can they conform with the Telecom operators latency and availability requirements of Fine Nines or Six Nines? The focus of this work is to first study and understand the concerns with NFV in terms of their failures, what amount of availability can they support. Second, study the state-of-the-art in terms of techniques that have been provided in the Cloud and Data Center networks for the traditional Virtual Machine based approaches and make the clear distinction of what aspects can and cannot be adapted? and what are the characteristics of NFV that make them differ from traditional VM based solutions? and aspects and solutions that can be adapted to achieve scalability, efficiency, and reliability in the NFV environments.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://www.etsi.org/deliver/etsi_gs/NFV-REL/001_099/002/01.01.01_60/gs_NFV-REL002v010101p.pdf] [https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper3.pdf] [https://datatracker.ietf.org/rg/nfvrg/documents/] [https://www.opnfv.org]
|-
| '''Green Energy Aware Provisioning for Datacenters (assigned to Rishita Kalyani)'''
With the advent of cloud computing especially Big data, service providers like Micorsoft, Google, etc are using more and more renewable energy in their data centers to minimize power cost and reduce carbon emission. It is one of the important area of research. The goal is to perform a survey on the state of the art technologies in this area.
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
| [http://dl.acm.org/citation.cfm?id=2642708] [http://dl.acm.org/citation.cfm?id=2751222] [http://ieeexplore.ieee.org/document/7479104/]
|-
| '''Applications of Big Data and Smart Cities (assigned to Abdul Hadi)'''
Study how the applications of big data support smart cities. Investigate related applications. Study their benefits, challenges, approaches and technologies. Give a short outlook on potential future developments.
| [https://www.net.informatik.uni-goettingen.de/people/enhuan_dong Enhuan Dong]
| [http://link.springer.com/article/10.1186/s13174-015-0041-5] [http://sloanreview.mit.edu/case-study/data-driven-city-management/] [http://sloanreview.mit.edu/article/six-lessons-from-amsterdams-smart-city-initiative/] [http://www.govtech.com/blogs/lohrmann-on-cybersecurity/making-the-top-smart-city-in-europe.html] [http://www.forbes.com/sites/peterhigh/2015/03/09/the-top-five-smart-cities-in-the-world/][https://www2.deloitte.com/content/dam/Deloitte/tr/Documents/public-sector/deloitte-nl-ps-smart-cities-report.pdf]
|-
| '''New Technologies to Connect Internet: Google balloon and Facebook Drone (assigned to Vaibhav Kasturia)'''
Project Loon and Facebook Drone are research and development projects being developed by Google X and Facebook respectively. Provide a comprehensive study on them. Investigate related approaches, techniques, methods, etc.
| [https://www.net.informatik.uni-goettingen.de/people/enhuan_dong Enhuan Dong]
| [https://www.solveforx.com/loon/]
|-
| '''Commercial usage of Multipath TCP (assigned to Hargun Sandhu)'''
MultiPath TCP (MPTCP) is an emerging extension for TCP and it is under discussion in IETF now. Study MPTCP protocol including architecture, data transmission, default congestion control, etc. Investigate how MPTCP is used in companies.
| [https://www.net.informatik.uni-goettingen.de/people/enhuan_dong Enhuan Dong]
| [https://tools.ietf.org/html/rfc6824][http://link.springer.com/chapter/10.1007%2F978-3-642-20757-0_35][https://www.usenix.org/conference/nsdi12/technical-sessions/presentation/raiciu][http://dl.acm.org/citation.cfm?id=2342476][http://dl.acm.org/citation.cfm?id=2631977][https://www.usenix.org/legacy/event/nsdi11/tech/full_papers/Wischik.pdf][http://blog.multipath-tcp.org/blog/html/2015/12/25/commercial_usage_of_multipath_tcp.html]
|-
|'''ICN - Information Centric Networking (assigned to Mian Athar Naqash, Ahmed Towfique, Fabio Sortino and Ander Schiavella)'''

Content Centric Networking (CCN) is a new ambitious proposal to replace the IP protocol. A better and faster content distribution, improved privacy, integrated cryptography and easy P2P communication are among the key elements of this architecture. On the other hand problems like efficiency and scalability of the name-based routing, support of existing application and new ones and the possibility to actually deploy this technology are still open and actively discussed, making CCN one of the most active research field in networking.

By choosing this topic you will gain a general knowledge of the many architecture proposed for ICN and will have to gain insight into one of the problems like routing or security, or solutions (i.e. applications on top of NDN).

- '''topics available''': Routing and IoT with ICN, Security in IoT, Routing in IoT, ICN Architectures
- [http://named-data.net/wp-content/uploads/2013/10/ndn-annualreport2012-2013.pdf NDN technical report]
- [http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
| Sripriya Adhatarao (adhatarao@cs.uni-goettingen.de)
|For general introduction:
*[http://named-data.net/a-new-way-to-look-at-networking/ Video presenting NDN]
*[http://named-data.net/wp-content/uploads/Jacob.pdf First proposal on Content Centric Networking]
*[http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]

|-
| '''Large-Scale Mobile Traffic Analysis - A Survey (assigned to Yasir Sohail)'''
This study is to provide a comprehensive study of large-scale mobile traffic analysis.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [http://perso.citi-lab.fr/mfiore/data/naboulsi_comst15.pdf]

|-
| '''Understanding and modelling individual human mobility (assigned to Tetiana Tolmachova)'''
This study is to provide a comprehensive study of understanding and modelling individual human mobility.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| Take a look at related papers in well known conferences/workshops/journals, e.g., [http://www.ccsb.dfci.harvard.edu/web/export/sites/default/ccsb/publications/papers/2010/Song--Barabasi_NatPhysics_10.pdf]

|-
| '''Recommendations in Location-based Social Networks - A Survey (assigned to Al Kafi Khan)'''
This study is to provide a comprehensive study of recommendations in Location-based Social Networks.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://www.microsoft.com/en-us/research/publication/recommendations-in-location-based-social-networks-a-survey/]

|-
| '''Learning from Imbalanced Data (assigned to Oleh Astappiev)'''
When building and training classifiers for classification problems, one commonly encountered problem is that of imbalanced data. For instance, in the case of a binary classifier, this means that one class is hugely overrepresented in the data available. Training classifiers for this kind of datasets has been a problem for some time. In this work, your task is to i) precisely introduce the imbalanced data problem, ii) discuss the state of the art of approaches for mitigating this problem (both from the perspective of learning algorithms and data manipulation techniques) and iii) find out what issues still remain open until today. Note that this topic requires a background in data science, and in particular in classification algorithms. Also, this topic requires a comparatively high reading effort.
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5128907&tag=1]
|-
| '''Deep Learning and its (possible) flaws (assigned to Sven Voigt)'''
One recent trend in machine learning is 'deep learning', where neural networks are employed for solving a wide range of problems. One prominent example of such problems is image classification. While neural networks are in fact delivering sometimes great results, they may also have some weak spots. In this work, your task is to i) make yourself familiar with neural networks, ii) discuss the state-of-the-art in image classification, and iii) to investigate some possible flaws in neural networks. Note that for this topic a background in data science, and in particular in classification algorithms, is strongly recommended. Also, this topic requires a comparatively high reading effort.
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://arxiv.org/abs/1404.7828]
|-
| '''How do self-driving cars work? (assigned) '''
The topic title is pretty self-explanatory :)
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://cs.stanford.edu/people/teichman/papers/iv2011.pdf]
|-
| '''Tiered Pricing in Internet (assigned to Bhabajeet Kalita)'''
ISPs sell transit connectivity bulk based on aggregate internet usage which is popularly known as blended rate pricing. Though blended rate pricing is simple, it is inefficient especially wrt resource allocation. Tiered pricing is one of the alternative. The goal of this work is to understand motivation for tiered pricing and discuss state-of-the-art in tiered pricing.
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
| [http://dl.acm.org/citation.cfm?id=2018459][http://netseminar.stanford.edu/past_seminars/seminars/11_03_11.pdf][http://dl.acm.org/citation.cfm?id=2096157][http://dl.acm.org/citation.cfm?id=2674854]
|-}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Winter 2016/2017)

2016-10-26T21:37:10Z

Skulkar:

== Details ==

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://www.net.informatik.uni-goettingen.de/people/Hong_Huang Dr. Hong Huang]
|ta=[http://www.net.informatik.uni-goettingen.de/people/Tao_Zhao Tao Zhao]
|time=Oct 20, 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

==Passing requirements==
*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''Oct. 20, 16:00ct''': Introduction meeting
* '''TBA''' : Deadline for registration
* '''TBA''' : Presentations
* '''Mar. 31, 2017, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| '''Why deep learning is suddenly changing your life?- A survey (assigned to Sudhir Kumar Sah)'''
This study is to provide a comprehensive survey on the key enabling technologies for deep learning.
| [http://www.net.informatik.uni-goettingen.de/people/Hong_Huang Hong Huang]
| [http://fortune.com/ai-artificial-intelligence-deep-machine-learning/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=revue]
|-
| '''Deep into Google Translate (assigned to Azadeh Amiri)'''
This study is to provide a comprehensive study of one of the Google products - Google translate and aim to understand the technologies behind it.
| [http://www.net.informatik.uni-goettingen.de/people/Hong_Huang Hong Huang]
| [https://research.googleblog.com/2016/09/a-neural-network-for-machine.html?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=revue]
|-
| '''Inferring social capital from big data'''
This study is to discover the state of art of social capital measuring, particularly, from big data perspective.
| [http://www.net.informatik.uni-goettingen.de/people/Hong_Huang Hong Huang]
| [http://science.sciencemag.org/content/350/6264/1073][http://www.sciencedirect.com/science/article/pii/S0378873314000033]
|-
| '''Towards a Pricing Model in NFV (assigned to Saidul Islam)'''
One of the untouched research areas in Network Function Virtualization (NFV) is Accounting Management. Your task is firstly identify the current Management systems that used in Data centers and cloud computing environments and later to map what you think it might be useful to NFV area. You should support your statement with logical reasons so far. It is not required to conducted any empirical work. Your work should investigate in some depth the exact relationship between different factors not only describing them.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7243304][http://store.elsevier.com/Cloud-Data-Centers-and-Cost-Modeling/Caesar-Wu/isbn-9780128014134/][http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7378433]
|-
| '''Legacy support in SDN networks(assigned to Dorna Amiri)'''
Supporting legacy network is an active research area in SDN. You should survey all techniques used up to date to solve this problem. Details may be provided later.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| Take a look at recent papers in well known conferences/workshops.
|-
| '''WiFi latest advances and Smart-wifi'''
A new generation of Wireless Local Area Networks (WLANs) will make its appearance in the market in the forthcoming years based on the amendments to the IEEE 802.11 standards that have recently been approved or are under development. Examples of the most expected ones are IEEE 802.11aa (Robust Audio Video Transport Streaming), IEEE 802.11ac (Very-high throughput at < 6 GHz), IEEE 802.11af (TV White Spaces) and IEEE 802.11ah (Machine-to-Machine communications) specifications. You should investigate the latest advances made in WiFi and in its usage to support other type of networks as LTE and G5.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| Take a look at recent papers in well known conferences/workshops.
|-
| '''What is the current status and future of cloud related research? What are the main research problems that are currently being targeted? (assigned to Georgios Kaklamanos)'''
Cloud computing and cloud based services have become an integral part of the Internet. The aim of this work is to study what research problems exist and also identify promising solutions. Topics pertaining to Data Centers are also of relevance.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| Take a look at recent papers in well known conferences/workshops.
|-
| '''What is the current status of congestion control protocols in ICN? (assigned to Ali Reza)'''
The aim of this work is to identify the congestion control related work in the ICN space.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| Take a look at recent papers in well known conferences/workshops.
|-
| '''Sponsored Search Auctions in Internet (Online advertisements Google Ads)(assigned to Han)'''
Sponsored search auctions are widely used by search engines like Google, Microsoft, for displaying ads when an user perform keyword search in goole.com/bing.com. The application of sponsored search auctions in not only limited to search engine providers but also has popular with online markets like eBay. The goal is to perform survey on the latest advancements in this area.
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
| [http://web.stanford.edu/~jdlevin/Econ%20285/Sponsored%20Search%20Auctions.pdf] [https://en.wikipedia.org/wiki/Sponsored_search_auction][http://dl.acm.org/citation.cfm?id=2668108]
|-
|'''Service Plane for Network Functions: Network Service Headers and Other alternatives (assigned to Zico Abhi Day)'''

Focus of this topic is to understand 'Service Function Chaining of Network Functions', the state-of-the-art proposals like Network Service Headers and related academic works. Reason and justify the need for service plane and then try to propose new mechanisms and design of the data plane to support network services, and the control plane functions necessary to manage these data plane functions.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6733615] [http://conferences2.sigcomm.org/acm-icn/2014/papers/p107.pdf] [https://tools.ietf.org/pdf/draft-quinn-sfc-nsh-07.pdf]
|-
|'''NFV state-of-the-art and Future trends - A survey (assigned to Ishwarya Chandrasekaran)'''
Study and Understand Network Function Virtualisation (NFV), the real world use cases and deployment trends of NFV in the Datacenter, telecommunication, private networks. Survey on the reports by standardisation committees and open workgroups like IEFT/ETSI/OPNFV, primarily the specification and requirements for the NFV, and the NFV deployment models. Compare with the available open-source/commercial products if any in the market and make the study of NFV characteristics, the Key Performance Index(KPIs) for NFV and identify the open issues and challenges towards adopting to NFV. Student can choose to carry out either breadth or in-depth on particular aspect of NFV.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper3.pdf] [https://datatracker.ietf.org/rg/nfvrg/documents/] [https://www.opnfv.org] [https://www.sdxcentral.com/reports/nfv-vnf-2016/vnf/] [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7350211]
|-
|-
| '''Towards SDN and NFV Fault Management and High Availability (assigned to Shakik Ahmed Chowdhury)'''
Network Function Virtualisation (NFV), is gaining rapid momentum, but are they reliable? can they conform with the Telecom operators latency and availability requirements of Fine Nines or Six Nines? The focus of this work is to first study and understand the concerns with NFV in terms of their failures, what amount of availability can they support. Second, study the state-of-the-art in terms of techniques that have been provided in the Cloud and Data Center networks for the traditional Virtual Machine based approaches and make the clear distinction of what aspects can and cannot be adapted? and what are the characteristics of NFV that make them differ from traditional VM based solutions? and aspects and solutions that can be adapted to achieve scalability, efficiency, and reliability in the NFV environments.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://www.etsi.org/deliver/etsi_gs/NFV-REL/001_099/002/01.01.01_60/gs_NFV-REL002v010101p.pdf] [https://portal.etsi.org/Portals/0/TBpages/NFV/Docs/NFV_White_Paper3.pdf] [https://datatracker.ietf.org/rg/nfvrg/documents/] [https://www.opnfv.org]
|-
| '''Green Energy Aware Provisioning for Datacenters (assigned to Rishita Kalyani)'''
With the advent of cloud computing especially Big data, service providers like Micorsoft, Google, etc are using more and more renewable energy in their data centers to minimize power cost and reduce carbon emission. It is one of the important area of research. The goal is to perform a survey on the state of the art technologies in this area.
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
| [http://dl.acm.org/citation.cfm?id=2642708] [http://dl.acm.org/citation.cfm?id=2751222] [http://ieeexplore.ieee.org/document/7479104/]
|-
| '''Applications of Big Data and Smart Cities (assigned to Abdul Hadi)'''
Study how the applications of big data support smart cities. Investigate related applications. Study their benefits, challenges, approaches and technologies. Give a short outlook on potential future developments.
| [https://www.net.informatik.uni-goettingen.de/people/enhuan_dong Enhuan Dong]
| [http://link.springer.com/article/10.1186/s13174-015-0041-5] [http://sloanreview.mit.edu/case-study/data-driven-city-management/] [http://sloanreview.mit.edu/article/six-lessons-from-amsterdams-smart-city-initiative/] [http://www.govtech.com/blogs/lohrmann-on-cybersecurity/making-the-top-smart-city-in-europe.html] [http://www.forbes.com/sites/peterhigh/2015/03/09/the-top-five-smart-cities-in-the-world/][https://www2.deloitte.com/content/dam/Deloitte/tr/Documents/public-sector/deloitte-nl-ps-smart-cities-report.pdf]
|-
| '''Google Balloon project (assigned to Vaibhav Kasturia)'''
Project Loon is a research and development project being developed by Google X with the mission of providing Internet access to rural and remote areas. Provide a comprehensive study on it. Investigate related approaches, techniques, methods, etc.
| [https://www.net.informatik.uni-goettingen.de/people/enhuan_dong Enhuan Dong]
| [https://www.solveforx.com/loon/]
|-
| '''Commercial usage of Multipath TCP (assigned to Hargun Sandhu)'''
MultiPath TCP (MPTCP) is an emerging extension for TCP and it is under discussion in IETF now. Study MPTCP protocol including architecture, data transmission, default congestion control, etc. Investigate how MPTCP is used in companies.
| [https://www.net.informatik.uni-goettingen.de/people/enhuan_dong Enhuan Dong]
| [https://tools.ietf.org/html/rfc6824][http://link.springer.com/chapter/10.1007%2F978-3-642-20757-0_35][https://www.usenix.org/conference/nsdi12/technical-sessions/presentation/raiciu][http://dl.acm.org/citation.cfm?id=2342476][http://dl.acm.org/citation.cfm?id=2631977][https://www.usenix.org/legacy/event/nsdi11/tech/full_papers/Wischik.pdf][http://blog.multipath-tcp.org/blog/html/2015/12/25/commercial_usage_of_multipath_tcp.html]
|-
|'''ICN - Information Centric Networking (assigned to Mian Athar Naqash, Ahmed Towfique, Fabio Sortino and Ander Schiavella)'''

Content Centric Networking (CCN) is a new ambitious proposal to replace the IP protocol. A better and faster content distribution, improved privacy, integrated cryptography and easy P2P communication are among the key elements of this architecture. On the other hand problems like efficiency and scalability of the name-based routing, support of existing application and new ones and the possibility to actually deploy this technology are still open and actively discussed, making CCN one of the most active research field in networking.

By choosing this topic you will gain a general knowledge of the many architecture proposed for ICN and will have to gain insight into one of the problems like routing or security, or solutions (i.e. applications on top of NDN).

- '''topics available''': Routing and IoT with ICN, Security in IoT, Routing in IoT, ICN Architectures
- [http://named-data.net/wp-content/uploads/2013/10/ndn-annualreport2012-2013.pdf NDN technical report]
- [http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
| Sripriya Adhatarao (adhatarao@cs.uni-goettingen.de)
|For general introduction:
*[http://named-data.net/a-new-way-to-look-at-networking/ Video presenting NDN]
*[http://named-data.net/wp-content/uploads/Jacob.pdf First proposal on Content Centric Networking]
*[http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]

|-
| '''Large-Scale Mobile Traffic Analysis - A Survey (assigned to Yasir Sohail)'''
This study is to provide a comprehensive study of large-scale mobile traffic analysis.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [http://perso.citi-lab.fr/mfiore/data/naboulsi_comst15.pdf]

|-
| '''Understanding and modelling individual human mobility (assigned to Tetiana Tolmachova)'''
This study is to provide a comprehensive study of understanding and modelling individual human mobility.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| Take a look at related papers in well known conferences/workshops/journals, e.g., [http://www.ccsb.dfci.harvard.edu/web/export/sites/default/ccsb/publications/papers/2010/Song--Barabasi_NatPhysics_10.pdf]

|-
| '''Recommendations in Location-based Social Networks - A Survey'''
This study is to provide a comprehensive study of recommendations in Location-based Social Networks.
| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao]
| [https://www.microsoft.com/en-us/research/publication/recommendations-in-location-based-social-networks-a-survey/]

|-
| '''Learning from Imbalanced Data (assigned to Oleh Astappiev)'''
When building and training classifiers for classification problems, one commonly encountered problem is that of imbalanced data. For instance, in the case of a binary classifier, this means that one class is hugely overrepresented in the data available. Training classifiers for this kind of datasets has been a problem for some time. In this work, your task is to i) precisely introduce the imbalanced data problem, ii) discuss the state of the art of approaches for mitigating this problem (both from the perspective of learning algorithms and data manipulation techniques) and iii) find out what issues still remain open until today. Note that this topic requires a background in data science, and in particular in classification algorithms. Also, this topic requires a comparatively high reading effort.
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5128907&tag=1]
|-
| '''Deep Learning and its (possible) flaws (assigned to Sven Voigt)'''
One recent trend in machine learning is 'deep learning', where neural networks are employed for solving a wide range of problems. One prominent example of such problems is image classification. While neural networks are in fact delivering sometimes great results, they may also have some weak spots. In this work, your task is to i) make yourself familiar with neural networks, ii) discuss the state-of-the-art in image classification, and iii) to investigate some possible flaws in neural networks. Note that for this topic a background in data science, and in particular in classification algorithms, is strongly recommended. Also, this topic requires a comparatively high reading effort.
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://arxiv.org/abs/1404.7828]
|-
| '''How do self-driving cars work? (assigned)'''
The topic title is pretty self-explanatory :)
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://cs.stanford.edu/people/teichman/papers/iv2011.pdf]
|-
| '''Tiered Pricing in Internet (assigned to Bhabajeet Kalita)'''
ISPs sell transit connectivity bulk based on aggregate internet usage which is popularly known as blended rate pricing. Though blended rate pricing is simple, it is inefficient especially wrt resource allocation. Tiered pricing is one of the alternative. The goal of this work is to understand motivation for tiered pricing and discuss state-of-the-art in tiered pricing.
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan%20s_prasad Abhinandan S Prasad]
| [http://dl.acm.org/citation.cfm?id=2018459][http://netseminar.stanford.edu/past_seminars/seminars/11_03_11.pdf][http://dl.acm.org/citation.cfm?id=2096157]
|-
}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Theses and Projects

2016-10-25T20:35:01Z

Skulkar: /* Open Theses and Student Project Topics */

== Open Theses and Student Project Topics ==

The Computer Networks Group is always looking for motivated students to work on various topics. If you are interested in any of the projects below, or if you have other ideas and are willing to work with us, please don't hesitate to [mailto:net@informatik.uni-goettingen.de contact us].

* (B) Bachelor thesis
* (M) Master thesis
* (P) Student project



=== Software Defined Networks (SDN) ===

* '''New!''' Including a Graph Database engine into an SDN Controller. (B/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]

* '''New!''' [[SDN Simulator: Implementation and validation of NS-3 or OMNET++ based SDN Simulator ]] (B/M/P) contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

* '''New!''' [[Open SDN Testbed: Realize the SDN testbed and automation of network topologies using the EU GEANT Testbed services ]] (B/M/P) contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

===Network Function Virtualization (NFV) ===
* '''New!''' [[Management and Orchestration: Design and Implementation of NFV Management and Orchestration Layer with OpenStack, based on the ESTI NFVI-MANO and OPNFV frameworks.]] (M/P) contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

* '''New!''' [[NSH Routing: Implementation of Network Service Headers to realize the service chain by steering traffic across the VNFs.]] (M/P) contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

* '''New!''' [[VNF components: Implementation of Virtual Network Functions like Proxy Engines, Firewall, IDS and IPS, on top of OpenNetVM, Docker engines using the available open source tools. ]] (M/P) contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

=== Future Internet architecture ===

* if you are interested in other topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

* [[Video Delivery: Implementation and validation of SAID, a congestion control protocol for Multicast (A joint project with CISCO) ]] (B/M/P)

* [[Network Management: Information Centric Networking (ICN) based solution for Network Management]] (B/M/P)

* [[Infrastructureless, Delay Tolerant Network in different Context: Internet of Things, Emergency, Mobile Social Networks, Pervasive Computing]] (B/M/P) (currently unavailable)

* [[Disaster Recovery: Implementation and evaluation of Mobile phone based Information Centric Networking (ICN) solution for support during disasters]] (B/M/P) (currently unavailable)

* [[Wireless mesh networks/vehicular networks/wireless sensor networks: Information Centric Networking (ICN) based solution]] (B/M/P) (currently unavailable)

=== Data Crawling and analysis ===

* [[Large scale distributed Data crawling and analysis of a popular web service]] (B/M/P)

* if you are interested in other topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

=== Massive Data Mining and Recommender System===

* [[Data Mining of the Web : User Behavior Analysis]] (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Building the Genealogy for Researchers]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Recommender System Design]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* if you are interested in other topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

=== Social Networking ===
* [[An Analysis of OSN based Sybil Defenses]] (M/P) ([http://user.informatik.uni-goettingen.de/~dkoll David Koll]) (currently unavailable)
* [[Implementing Distributed Online Social Networks on Home Gateways]] (M/P) ([http://user.informatik.uni-goettingen.de/~dkoll David Koll]) (currently unavailable)
* [[Topic prediction in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])
* [[Mining emotion patterns in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])

== Ongoing Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
| Implementation FCSC (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to implement FCSC
| Assigned to Eeran Maiti
|-
| Large scale Data processing for Emergency services (Thesis project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to develop tools to perform large scale data processing of emergency calls
| Assigned to Ram
|-
| Implementation of a pub/sub system (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen] [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to show how application layer intelligence cupled with network layer pub/sub can be beneficial to both users as well as network operators
| Assigned to Sripriya
|-
| Analysis of text messages for emergency Services (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| Currently, emergency services are not designed to perform a sentiment analysis on text messages without human intervention to efficiently provide emergency services. This work will develop such a tool.
| Assigned to Pranay Tare, Gurjinder Singh
|-
| Conformance Testing of Lost server for Emergency Services (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://tools.ietf.org/html/rfc5222], [http://tools.ietf.org/html/rfc5582]
| Though, the Internet and communication means have advanced, Emergency calls (i.e. 112) can only be performed by traditional phone calls. Emergency service providers cannot handle VoIP, text and video messages. Handling such messages will allow emergency service providers to scale and thereby handle large scale emergency. This task will involve conformance testing of LoST server.
| Assigned to Florian Unger
|-
| Implementation of Location Information Server (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://tools.ietf.org/html/rfc4119], [http://tools.ietf.org/html/rfc5139]
| Though, the Internet and communication means have advanced, Emergency calls (i.e. 112) can only be performed by traditional phone calls. Emergency service providers cannot handle VoIP, text and video messages. Handling such messages will allow emergency service providers to scale and thereby handle large scale emergency. This task will involve implementing a lIS server to identify the location of a VOIP client.
| Assigned to Vijay Soppadandi
|-
| Implement and Evaluate FlowTag in SDN (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| SDN, MiniNet
| This project will implement and evaluate the performance of Flowtag in SDN
| Assigned to Hari Raghavendar Rao Bandari
|-
| Real time analysis to predict the future of companies (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| Spark, Twitter Storm
| This project will perform a study of stream processing tools and methods and analyse their accuracy in predicting the future based on past data
| Assigned to Karthik Sharma ‎
|-
| Real time analysis to study the accuracy of gene matching (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| Spark, Twitter Storm
| This project will perform a study of stream processing tools and methods to analyse the speed and accuracy of predicting if a certain gene pattern matches existing gene patterns in the data base.
| Assigned to Uche Oteh ‎
|-
| Analyze the effect of ICN on energy saving (ITIS Research Project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| ICN
| Analyze the benefits of ICN in terms of energy saving potential
| Assigned to Alberto Rivera Diaz (Status update: [https://docs.google.com/document/d/1iRnJrqYEb-v-Gpb23XpoUn-boolhOfJu96DBrzanyNY/edit?pli=1])
|-
| How can ICN help DTN? (Master thesis Project)
| [https://www.net.informatik.uni-goettingen.de/people/edo_monticelli Edo Monticelli],[http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| ICN, DTN
| Improve ICN to better support DTN environments
| Assigned to Benno
|-
| Personalized Recommender System Design (Master thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
| Build a personalized context-aware recommender system for customers according to their own interest.
| Assigned to Haile Misgna
|-
| Emotion Patterns Analysis in OSNs (Bachelor thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang],[http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
|
| We aim to study the emotion patterns in the Twitter service and predict the future emotion status of users.
| Assigned to Stefan Peters
|-
| Activity recognition from GSM signal strength information (Bachelor thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.stephansigg.de/stephan/projects_deviceFree.html]
| Utilising an open firmware and GSM stack for mobile phones, signal strength information is analysed and interpreted for environmental motion and gestures
| Marko Becker
|-
| Activity recognition from WiFi RSSI
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.stephansigg.de/stephan/projects_deviceFree.html]
| Development of a demonstration platform for motion and gesture recognition from WiFi RSSI on android mobile phones
| Christoph Rauterberg
|-
| Indoor localisation from device-free RF
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.stephansigg.de/stephan/projects_deviceFree.html]
| Investigation of device-free RF-based indoor localisation with software defined radio devices
| Nguyen Chuong Tach
|-
| Securing Decentralized OSNs against the Man-in-the-Middle-Attack
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| -
| Securing Decentralized OSNs against the Man-in-the-Middle-Attack
| Swen Weiland
|-
|}

== Completed Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
| Large Scale Distributed Natural Language Document Generation System (Student project at IBM)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The work was done at IBM
| Completed by Eeran Maiti
|-
| Investigate real time streaming tools for large scale data processing (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to compare real time streaming tools.
| Completed by Ram
|-
| Software-Defined Networking and Network Operating System (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| SDN based ntwork operating system
| Completed by Rasha
|-
| GEMSTONE goes Mobile (BSc Thesis/Student Project)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of a Decentralized Online Social Network to the Android Platform
| Completed by Fabien Mathey and improved by Eeran Maiti
|-
| Transitioning of Social Graphs between Multiple Online Social Networks (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of friendship graphs between different Online Social Networks
| Completed by Kai-Stephan Jacobsen
|-
| Prevention and Mitigation of (D)DoS Attacks in Enterprise Environments (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| An analysis of enterprise infrastructures and their vulnerarbility towards attacks from the outside.
| Completed by David Kelterer
|-
|}

* For a full list of older topics please go [http://www.net.informatik.uni-goettingen.de/student_projects here].
</noinclude>

VNF components: Implementation of Virtual Network Functions like Proxy Engines, Firewall, IDS and IPS, on top of OpenNetVM, Docker engines using the available open source tools.

2016-10-25T20:33:46Z

Skulkar:

== Project Work ==
Undertand OpenNetVM plattorm and develop real world Network functions by leveraging the OpenNetVM Manager and the available open source implementations of the Network functions.
You can choose any of the network functions that you find interesting to work on.
Validate the implementation of network function by running simple tests on-top of OpenNetVM.

Also, refer to open source FD.IO project [https://fd.io]. Several active NFV implementations and projects [https://wiki.fd.io/view/Main_Page#fd.io_projects].

== Background ==
openNetVM is a high performance NFV platform based on Intel DPDK [http://dpdk.org] and Docker containers [https://www.docker.com/]. openNetVM is SDN-enabled, allowing the network controller to provide rules that dictate what network functions need to process each packet flow.
openNetVM is an open source version of the NetVM platform described in [NSDI 2014 paper][nsdi04], released under the [BSD][license] license.
To install openNetVM, please see the openNetVM Installation guide for a thorough walkthrough [docs/Install.md].
openNetVM can be used in a variety of ways. To get started with some examples, please see the Example Uses guide [docs/Examples.md]
The NF Development guide [docs/NF_Dev.md] will provide what you need to start create your own NFs.

== Links ==
ONVM: [http://sdnfv.github.io/onvm/]
DPDK: [http://dpdk.org]
Docker: [https://www.docker.com/]
NetVM Paper: [http://faculty.cs.gwu.edu/~timwood/papers/14-NSDI-netvm.pdf]
FD.IO [https://fd.io]

VNF components: Implementation of Virtual Network Functions like Proxy Engines, Firewall, IDS and IPS, on top of OpenNetVM, Docker engines using the available open source tools.

2016-10-25T20:33:11Z

Skulkar: Created page with "== Project Work == Undertand OpenNetVM plattorm and develop real world Network functions by leveraging the OpenNetVM Manager and the available open source implementations of the..."

== Project Work ==
Undertand OpenNetVM plattorm and develop real world Network functions by leveraging the OpenNetVM Manager and the available open source implementations of the Network functions.
You can choose any of the network functions that you find interesting to work on.
Validate the implementation of network function by running simple tests on-top of OpenNetVM.

Also, refer to open source FD.IO project [https://fd.io]. Several active NFV implementations and projects [https://wiki.fd.io/view/Main_Page#fd.io_projects].

== Background ==
openNetVM is a high performance NFV platform based on Intel DPDK [http://dpdk.org] and Docker containers [https://www.docker.com/]. openNetVM is SDN-enabled, allowing the network controller to provide rules that dictate what network functions need to process each packet flow.
openNetVM is an open source version of the NetVM platform described in our [NSDI 2014 paper][nsdi04], released under the [BSD][license] license.
To install openNetVM, please see the openNetVM Installation guide for a thorough walkthrough [docs/Install.md].
openNetVM can be used in a variety of ways. To get started with some examples, please see the Example Uses guide [docs/Examples.md]
The NF Development guide [docs/NF_Dev.md] will provide what you need to start create your own NFs.

== Links ==
ONVM: [http://sdnfv.github.io/onvm/]
DPDK: [http://dpdk.org]
Docker: [https://www.docker.com/]
NetVM Paper: [http://faculty.cs.gwu.edu/~timwood/papers/14-NSDI-netvm.pdf]
FD.IO [https://fd.io]

NSH Routing: Implementation of Network Service Headers to realize the service chain by steering traffic across the VNFs.

2016-10-25T20:32:41Z

Skulkar: Created page with "==Project Work == Focus of this project is to realize a service plane as illustrated in the NSH RFC [https://datatracker.ietf.org/doc/draft-ietf-sfc-nsh/] using the SDN controll..."

==Project Work ==
Focus of this project is to realize a service plane as illustrated in the NSH RFC [https://datatracker.ietf.org/doc/draft-ietf-sfc-nsh/] using the SDN controller of your choice. Ryu, Pox, OpenDayLight, Floodlight, etc.
 
Work primarily involves the following tasks:
 
# Understand the NSH proposal. refer to the RFC [https://tools.ietf.org/pdf/draft-ietf-sfc-nsh-10.pdf].
# Pick the SDN controller of your choice. Python based Ryu/Pox or Java based ONOS, ODL, OpenDaylight controllers.
# Implementa the base NSH - a dedicated service plane for function chaining and validate simple use cases.

OR

# Pick the existing NSH implementations for the ONOS and ODL (listed below) and design for optimization.
# NSH has high overheads, it can be further optimized to address efficient routing by lowering the SDN flow entries and reducing the per packet header bytes.

----
Note:
 
There are ongoing projects in ONOS and OpenDaylight community for implementing the NSH.
 
You can leverage on these available implementations and focus on the optimization part instead*.
 
We already have one such design for optimizing NSH. If interested, you can discuss with our team and implement it.
 

== Document Links ==
[1] NSH RFC [https://datatracker.ietf.org/doc/draft-ietf-sfc-nsh/]
 
[2] SFC Use cases [https://datatracker.ietf.org/doc/draft-ietf-sfc-dc-use-cases/]
 
[3] ONOS SFC Project: [https://wiki.onosproject.org/pages/viewpage.action?pageId=4163192]
 
[4] ODL SFC Project: [https://wiki.opendaylight.org/view/Service_Function_Chaining:Main]

Open SDN Testbed: Realize the SDN testbed and automation of network topologies using the EU GEANT Testbed services

2016-10-25T19:22:37Z

Skulkar: Created page with "Project Work: Leverage GEANT testbed for SDN [http://gts.geant.net/]. - First understand the testbed capabilities: a) Testbed provides several geo located SDN switches supp..."

Project Work:
Leverage GEANT testbed for SDN [http://gts.geant.net/].
- First understand the testbed capabilities:
a) Testbed provides several geo located SDN switches supporting open flow 1.3.
b) allow to have virtual slice of Openflow swithces on top of the HP OpenFlow switches.
c) Additionally provides the capability to instantiate isolated VM's and
d) have a provision to run our own controller software.

- Build small custom topologies using the tools provided by GTS and
- Build the test scripts to:
- automate the process of creating the topologies and
- validate Openflow controller and switch functionalities.

Links: [[http://gts.geant.net/]

Management and Orchestration: Design and Implementation of NFV Management and Orchestration Layer with OpenStack, based on the ESTI NFVI-MANO and OPNFV frameworks.

2016-10-25T19:09:55Z

Skulkar:

Project Work:
- Focus of this project is to build on the verticals and try to address the Northbound Interfaces and high level frameworks to adapt, manage and orchestrate different VNFs.
- Study primarily involves understanding the following:
a) Map the ETSI NFV architectural framework.
b) OpenStack Framework[https://www.openstack.org/] support for Management and Orchestration of Network Functions (MANO). Primarily the Horizon, Tacker and NOVA components: to understand what aspects are dealt and how they interact.
c) OPNFV[https://www.opnfv.org/software/technical-overview] Framework and support for MANO

Goals:
- Understanding ETSI NFV framework.
- Comparative study on How Openstack and OPNFV build an ETSI aligned NFV platform.
- What are the necessary MANO API’s at different levels (both Northbound and SouthBound) and what standardized API’s for different interactions with SDN Controller, NF Manager, Network Function etc.
- Identify the open issues, and then potentially define and propose some updates and enhancements.

Document Links:
[1] ETSI GS NFV V1.1.1[http://www.etsi.org/deliver/etsi_gs/nfv/001_099/002/01.01.01_60/gs_nfv002v010101p.pdf] , V1.2.1[http://www.etsi.org/deliver/etsi_gs/NFV/001_099/003/01.02.01_60/gs_NFV003v010201p.pdf] and NFV Whitepaper[https://portal.etsi.org/NFV/NFV_White_Paper.pdf]

Management and Orchestration: Design and Implementation of NFV Management and Orchestration Layer with OpenStack, based on the ESTI NFVI-MANO and OPNFV frameworks.

2016-10-25T19:09:15Z

Skulkar: Created page with "Project Work: - Focus of this project is to build on the verticals and try to address the Northbound Interfaces and high level frameworks to adapt, manage and orchestrate differ..."

Project Work:
- Focus of this project is to build on the verticals and try to address the Northbound Interfaces and high level frameworks to adapt, manage and orchestrate different VNFs.
- Study primarily involves understanding the following:
a) Map the ETSI NFV architectural framework.
b) OpenStack Framework[https://www.openstack.org/] support for Management and Orchestration of Network Functions (MANO). Primarily the Horizon, Tacker and NOVA components: to understand what aspects are dealt and how they interact.
c) OPNFV[https://www.opnfv.org/software/technical-overview] Framework and support for MANO

Document Links:
[1] ETSI GS NFV V1.1.1[http://www.etsi.org/deliver/etsi_gs/nfv/001_099/002/01.01.01_60/gs_nfv002v010101p.pdf] , V1.2.1[http://www.etsi.org/deliver/etsi_gs/NFV/001_099/003/01.02.01_60/gs_NFV003v010201p.pdf] and NFV Whitepaper[https://portal.etsi.org/NFV/NFV_White_Paper.pdf]

Goals:
- Understanding ETSI NFV framework.
- Comparative study on How Openstack and OPNFV build an ETSI aligned NFV platform.
- What are the necessary MANO API’s at different levels (both Northbound and SouthBound) and what standardized API’s for different interactions with SDN Controller, NF Manager, Network Function etc.
- Identify the open issues, and then potentially define and propose some updates and enhancements.

SDN Simulator: Implementation and validation of NS-3 or OMNET++ based SDN Simulator

2016-10-25T18:58:56Z

Skulkar:

Project work:

Prerequisites:
- To get the Openflow simulation framework with OMNET++ up and running. Feel free to use either the Linux/Windows/MAC machines. You can install either latest OMNET++ 4.6 or OMNET++ 4.2 and INET -3.0, or 2.6 or INET-2.0.
- Install OMNET++ and then install INET framework (once you open the OMNET++ IDE, it automatically tries to install the INET, you can as well download from Git and build it). Integrate the Openflow extension to the INET framework.

- Try to get familiar with OMNET++ simulator and INET framework.
- You should be able to run some simple tests (available readily in the simulator suite).
- And try to get familiarized with the IDE and building blocks of OMENT++ simulator (NED scripting, configuration and INI files).

Implementation:
- Once you have the basic OMNET++ with basic SDN controller and switch setup, the main activity is to extend on the openflow switch and controller modules to support open flow 1.3 (recommended) or in the least openflow 1.0, features and verify the functionalities on the simulator.
- Define small prototype topologies and test cases to validate the open flow features.

Note:
For Openflow extension, refer to this link[http://www3.informatik.uni-wuerzburg.de/research/ngn/ofomnet/of_omnet.shtml]. It is recommended to use the OMNET++ 4.2 and INET-2.0, but it should be fine to use the latest version.

Additional References:
- Paper: [http://www3.informatik.uni-wuerzburg.de/research/ngn/ofomnet/paper-acm_with_font.pdf]
- GitHub Code:[https://github.com/lsinfo3/ofomnet/tree/master/openflow]
- Project Web UR: [http://www3.informatik.uni-wuerzburg.de/research/ngn/openflow.shtml]

SDN Simulator: Implementation and validation of NS-3 or OMNET++ based SDN Simulator

2016-10-25T18:53:27Z

Skulkar: Created page with "Project work: - To get the Openflow simulation framework with OMNET++ up and running. Feel free to use either the Linux/Windows/MAC machines. You can install either latest OMNET..."

Project work:
- To get the Openflow simulation framework with OMNET++ up and running. Feel free to use either the Linux/Windows/MAC machines. You can install either latest OMNET++ 4.6 or OMNET++ 4.2 and INET -3.0, or 2.6 or INET-2.0.
- Install OMNET++ and then install INET framework (once you open the OMNET++ IDE, it automatically tries to install the INET, you can as well download from Git and build it). Integrate the Openflow extension to the INET framework.

- Try to get familiar with OMNET++ simulator and INET framework.
- You should be able to run some simple tests (available readily in the simulator suite).
- And try to get familiarized with the IDE and building blocks of OMENT++ simulator (NED scripting, configuration and INI files).

Note:
For Openflow extension, refer to this link[http://www3.informatik.uni-wuerzburg.de/research/ngn/ofomnet/of_omnet.shtml]. It is recommended to use the OMNET++ 4.2 and INET-2.0, but it should be fine to use the latest version.

Additional References:
- Paper: [http://www3.informatik.uni-wuerzburg.de/research/ngn/ofomnet/paper-acm_with_font.pdf]
- GitHub Code:[https://github.com/lsinfo3/ofomnet/tree/master/openflow]
- Project Web UR: [http://www3.informatik.uni-wuerzburg.de/research/ngn/openflow.shtml]

Theses and Projects

2016-10-25T18:45:19Z

Skulkar: /* Open Theses and Student Project Topics */

== Open Theses and Student Project Topics ==

The Computer Networks Group is always looking for motivated students to work on various topics. If you are interested in any of the projects below, or if you have other ideas and are willing to work with us, please don't hesitate to [mailto:net@informatik.uni-goettingen.de contact us].

* (B) Bachelor thesis
* (M) Master thesis
* (P) Student project



=== Software Defined Networks (SDN) ===

* '''New!''' Including a Graph Database engine into an SDN Controller. (B/P) [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat] [https://wiki.net.informatik.uni-goettingen.de/wiki/Gavel details]

* '''New!''' [[SDN Simulator: Implementation and validation of NS-3 or OMNET++ based SDN Simulator ]] (B/M/P) contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

* '''New!''' [[Open SDN Testbed: Realize the SDN testbed and automation of network topologies using the EU GEANT Testbed services ]] (B/M/P) contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

===Network Function Virtualization (NFV) ===
* '''New!''' [[Management and Orchestration: Design and Implementation of NFV Management and Orchestration Layer with OpenStack, based on the ESTI NFVI-MANO and OPNFV frameworks.]] (M/P) contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

* '''New!''' [[VNF components: Implementation of Virtual Network Functions like Proxy Engines, Firewall, IDS and IPS, on top of OpenNetVM, Docker engines using the available open source tools. ]] (M/P) contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

=== Future Internet architecture ===

* if you are interested in other topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

* [[Video Delivery: Implementation and validation of SAID, a congestion control protocol for Multicast (A joint project with CISCO) ]] (B/M/P)

* [[Network Management: Information Centric Networking (ICN) based solution for Network Management]] (B/M/P)

* [[Infrastructureless, Delay Tolerant Network in different Context: Internet of Things, Emergency, Mobile Social Networks, Pervasive Computing]] (B/M/P) (currently unavailable)

* [[Disaster Recovery: Implementation and evaluation of Mobile phone based Information Centric Networking (ICN) solution for support during disasters]] (B/M/P) (currently unavailable)

* [[Wireless mesh networks/vehicular networks/wireless sensor networks: Information Centric Networking (ICN) based solution]] (B/M/P) (currently unavailable)

=== Data Crawling and analysis ===

* [[Large scale distributed Data crawling and analysis of a popular web service]] (B/M/P)

* if you are interested in other topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]

=== Massive Data Mining and Recommender System===

* [[Data Mining of the Web : User Behavior Analysis]] (B/M/P) [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Building the Genealogy for Researchers]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* [[Recommender System Design]] (B/M/P)[http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

* if you are interested in other topics in this area please get in contact with [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]

=== Social Networking ===
* [[An Analysis of OSN based Sybil Defenses]] (M/P) ([http://user.informatik.uni-goettingen.de/~dkoll David Koll]) (currently unavailable)
* [[Implementing Distributed Online Social Networks on Home Gateways]] (M/P) ([http://user.informatik.uni-goettingen.de/~dkoll David Koll]) (currently unavailable)
* [[Topic prediction in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])
* [[Mining emotion patterns in online social networks]] (B/M/P)([http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang])

== Ongoing Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
| Implementation FCSC (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to implement FCSC
| Assigned to Eeran Maiti
|-
| Large scale Data processing for Emergency services (Thesis project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to develop tools to perform large scale data processing of emergency calls
| Assigned to Ram
|-
| Implementation of a pub/sub system (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/jiachen_chen Jiachen Chen] [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to show how application layer intelligence cupled with network layer pub/sub can be beneficial to both users as well as network operators
| Assigned to Sripriya
|-
| Analysis of text messages for emergency Services (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| Currently, emergency services are not designed to perform a sentiment analysis on text messages without human intervention to efficiently provide emergency services. This work will develop such a tool.
| Assigned to Pranay Tare, Gurjinder Singh
|-
| Conformance Testing of Lost server for Emergency Services (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://tools.ietf.org/html/rfc5222], [http://tools.ietf.org/html/rfc5582]
| Though, the Internet and communication means have advanced, Emergency calls (i.e. 112) can only be performed by traditional phone calls. Emergency service providers cannot handle VoIP, text and video messages. Handling such messages will allow emergency service providers to scale and thereby handle large scale emergency. This task will involve conformance testing of LoST server.
| Assigned to Florian Unger
|-
| Implementation of Location Information Server (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://tools.ietf.org/html/rfc4119], [http://tools.ietf.org/html/rfc5139]
| Though, the Internet and communication means have advanced, Emergency calls (i.e. 112) can only be performed by traditional phone calls. Emergency service providers cannot handle VoIP, text and video messages. Handling such messages will allow emergency service providers to scale and thereby handle large scale emergency. This task will involve implementing a lIS server to identify the location of a VOIP client.
| Assigned to Vijay Soppadandi
|-
| Implement and Evaluate FlowTag in SDN (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| SDN, MiniNet
| This project will implement and evaluate the performance of Flowtag in SDN
| Assigned to Hari Raghavendar Rao Bandari
|-
| Real time analysis to predict the future of companies (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| Spark, Twitter Storm
| This project will perform a study of stream processing tools and methods and analyse their accuracy in predicting the future based on past data
| Assigned to Karthik Sharma ‎
|-
| Real time analysis to study the accuracy of gene matching (Under key competency module)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| Spark, Twitter Storm
| This project will perform a study of stream processing tools and methods to analyse the speed and accuracy of predicting if a certain gene pattern matches existing gene patterns in the data base.
| Assigned to Uche Oteh ‎
|-
| Analyze the effect of ICN on energy saving (ITIS Research Project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| ICN
| Analyze the benefits of ICN in terms of energy saving potential
| Assigned to Alberto Rivera Diaz (Status update: [https://docs.google.com/document/d/1iRnJrqYEb-v-Gpb23XpoUn-boolhOfJu96DBrzanyNY/edit?pli=1])
|-
| How can ICN help DTN? (Master thesis Project)
| [https://www.net.informatik.uni-goettingen.de/people/edo_monticelli Edo Monticelli],[http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| ICN, DTN
| Improve ICN to better support DTN environments
| Assigned to Benno
|-
| Personalized Recommender System Design (Master thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang]
|
| Build a personalized context-aware recommender system for customers according to their own interest.
| Assigned to Haile Misgna
|-
| Emotion Patterns Analysis in OSNs (Bachelor thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang],[http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
|
| We aim to study the emotion patterns in the Twitter service and predict the future emotion status of users.
| Assigned to Stefan Peters
|-
| Activity recognition from GSM signal strength information (Bachelor thesis Project)
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.stephansigg.de/stephan/projects_deviceFree.html]
| Utilising an open firmware and GSM stack for mobile phones, signal strength information is analysed and interpreted for environmental motion and gestures
| Marko Becker
|-
| Activity recognition from WiFi RSSI
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.stephansigg.de/stephan/projects_deviceFree.html]
| Development of a demonstration platform for motion and gesture recognition from WiFi RSSI on android mobile phones
| Christoph Rauterberg
|-
| Indoor localisation from device-free RF
| [http://www.net.informatik.uni-goettingen.de/people/stephan_sigg Stephan Sigg]
| [http://www.stephansigg.de/stephan/projects_deviceFree.html]
| Investigation of device-free RF-based indoor localisation with software defined radio devices
| Nguyen Chuong Tach
|-
| Securing Decentralized OSNs against the Man-in-the-Middle-Attack
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
| -
| Securing Decentralized OSNs against the Man-in-the-Middle-Attack
| Swen Weiland
|-
|}

== Completed Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic advisor'''
|{{Hl2}} |'''Initial readings'''
|{{Hl2}} |'''Description'''
|{{Hl2}} |'''Student'''

|-
| Large Scale Distributed Natural Language Document Generation System (Student project at IBM)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The work was done at IBM
| Completed by Eeran Maiti
|-
| Investigate real time streaming tools for large scale data processing (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| The aim of the work is to compare real time streaming tools.
| Completed by Ram
|-
| Software-Defined Networking and Network Operating System (Student project)
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
|
| SDN based ntwork operating system
| Completed by Rasha
|-
| GEMSTONE goes Mobile (BSc Thesis/Student Project)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of a Decentralized Online Social Network to the Android Platform
| Completed by Fabien Mathey and improved by Eeran Maiti
|-
| Transitioning of Social Graphs between Multiple Online Social Networks (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| Portation of friendship graphs between different Online Social Networks
| Completed by Kai-Stephan Jacobsen
|-
| Prevention and Mitigation of (D)DoS Attacks in Enterprise Environments (BSc Thesis)
| [http://user.informatik.uni-goettingen.de/~dkoll David Koll]
|
| An analysis of enterprise infrastructures and their vulnerarbility towards attacks from the outside.
| Completed by David Kelterer
|-
|}

* For a full list of older topics please go [http://www.net.informatik.uni-goettingen.de/student_projects here].
</noinclude>

Seminar on Internet Technologies (Winter 2016/2017)

2016-10-21T01:39:08Z

Skulkar:

Seminar on Internet Technologies (Winter 2016/2017)

2016-10-06T19:09:24Z

Skulkar: /* Topics */

Practical Course Networking Lab (Summer 2016)

2016-04-25T09:53:27Z

Skulkar: /* Course Mailing List */

{{Announcement|Note: See below for 2 week block course slots}}
{{Announcement|Note: Please register by 26/5/2016 for the summer course and by 6/10/2016 for the block course to be eligible for the examination.}}
{{Announcement|Note: The examination date will be flexible and can be arranged based on the availability of Prof. Fu and your team. }}

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni],[http://www.net.informatik.uni-goettingen.de/people/Osamah_Barakat Osamah Barakat]
|time= organizational meeting - April 21th, 15:00
|place=IfI 3.101
|univz=[http://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=88215&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
|Course mailing list=network_lab-request@cs.uni-goettingen.de [network_lab-request@cs.uni-goettingen.de]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
On April 21st, at 15:30, there will be an organizational meeting, in 3.101. An introduction to the lab course, including a tour of the actual lab will be given.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to Course mailing list by sending a mail to [network_lab-request@cs.uni-goettingen.de]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from 18th April onwards. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] an email with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2016''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | Jonah Windolph & Maxim Titov
| {{BgGreen}} | Xiguang Zhang & Rouven Woscholski
| {{BgGreen}} | Yannik Richter & Benedict Spermoser
| {{BgGreen}} | Domenico Barbato & Tomàs Filìpek
| {{BgGreen}} | Raphael Michna & Sebastin Ferratsch
|}

==Lab Slots during the semester break ==
Each team has two weeks (approximately 10 working days) during the semester break. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni me] an email with the preferred slot and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="8" align="center" | ''Summer Semester Break, 2016''
|-
|{{Hl2}} |'''Jul 18 - Jul 29'''
|{{Hl2}} |'''Aug 1 - Aug 12'''
|{{Hl2}} |'''Aug 15 - Aug 26'''
|{{Hl2}} |'''Aug 29 - Sep 09'''
|{{Hl2}} |'''Sep 12 - Sep 23'''
|{{Hl2}} |'''Sep 26 - Oct 07'''
|-
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
|}

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Summer 2016)

2016-04-25T09:49:41Z

Skulkar: /* Lab teams */

{{Announcement|Note: See below for 2 week block course slots}}
{{Announcement|Note: Please register by 26/5/2016 for the summer course and by 6/10/2016 for the block course to be eligible for the examination.}}
{{Announcement|Note: The examination date will be flexible and can be arranged based on the availability of Prof. Fu and your team. }}

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni],[http://www.net.informatik.uni-goettingen.de/people/Osamah_Barakat Osamah Barakat]
|time= organizational meeting - April 21th, 15:00
|place=IfI 3.101
|univz=[http://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=88215&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
|Course mailing list=network_lab-request@cs.uni-goettingen.de [network_lab-request@cs.uni-goettingen.de]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
On April 21st, at 15:30, there will be an organizational meeting, in 3.101. An introduction to the lab course, including a tour of the actual lab will be given.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Course Mailing List===
Please subscribe to the Course mailing list network_lab-request@cs.uni-goettingen.de[network_lab-request@cs.uni-goettingen.de]

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from 18th April onwards. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] an email with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2016''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | Jonah Windolph & Maxim Titov
| {{BgGreen}} | Xiguang Zhang & Rouven Woscholski
| {{BgGreen}} | Yannik Richter & Benedict Spermoser
| {{BgGreen}} | Domenico Barbato & Tomàs Filìpek
| {{BgGreen}} | Raphael Michna & Sebastin Ferratsch
|}

==Lab Slots during the semester break ==
Each team has two weeks (approximately 10 working days) during the semester break. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni me] an email with the preferred slot and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="8" align="center" | ''Summer Semester Break, 2016''
|-
|{{Hl2}} |'''Jul 18 - Jul 29'''
|{{Hl2}} |'''Aug 1 - Aug 12'''
|{{Hl2}} |'''Aug 15 - Aug 26'''
|{{Hl2}} |'''Aug 29 - Sep 09'''
|{{Hl2}} |'''Sep 12 - Sep 23'''
|{{Hl2}} |'''Sep 26 - Oct 07'''
|-
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
|}

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Summer 2016)

2016-04-25T09:47:24Z

Skulkar: /* Details */

{{Announcement|Note: See below for 2 week block course slots}}
{{Announcement|Note: Please register by 26/5/2016 for the summer course and by 6/10/2016 for the block course to be eligible for the examination.}}
{{Announcement|Note: The examination date will be flexible and can be arranged based on the availability of Prof. Fu and your team. }}

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni],[http://www.net.informatik.uni-goettingen.de/people/Osamah_Barakat Osamah Barakat]
|time= organizational meeting - April 21th, 15:00
|place=IfI 3.101
|univz=[http://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=88215&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
|Course mailing list=network_lab-request@cs.uni-goettingen.de [network_lab-request@cs.uni-goettingen.de]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
On April 21st, at 15:30, there will be an organizational meeting, in 3.101. An introduction to the lab course, including a tour of the actual lab will be given.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from 18th April onwards. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] an email with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2016''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | Jonah Windolph & Maxim Titov
| {{BgGreen}} | Xiguang Zhang & Rouven Woscholski
| {{BgGreen}} | Yannik Richter & Benedict Spermoser
| {{BgGreen}} | Domenico Barbato & Tomàs Filìpek
| {{BgGreen}} | Raphael Michna & Sebastin Ferratsch
|}

==Lab Slots during the semester break ==
Each team has two weeks (approximately 10 working days) during the semester break. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni me] an email with the preferred slot and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="8" align="center" | ''Summer Semester Break, 2016''
|-
|{{Hl2}} |'''Jul 18 - Jul 29'''
|{{Hl2}} |'''Aug 1 - Aug 12'''
|{{Hl2}} |'''Aug 15 - Aug 26'''
|{{Hl2}} |'''Aug 29 - Sep 09'''
|{{Hl2}} |'''Sep 12 - Sep 23'''
|{{Hl2}} |'''Sep 26 - Oct 07'''
|-
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
|}

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Practical Course Networking Lab (Summer 2016)

2016-04-25T08:28:55Z

Skulkar: /* Lab Slots */

{{Announcement|Note: See below for 2 week block course slots}}
{{Announcement|Note: Please register by 26/5/2016 for the summer course and by 6/10/2016 for the block course to be eligible for the examination.}}
{{Announcement|Note: The examination date will be flexible and can be arranged based on the availability of Prof. Fu and your team. }}

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni],[http://www.net.informatik.uni-goettingen.de/people/Osamah_Barakat Osamah Barakat]
|time= organizational meeting - April 21th, 15:00
|place=IfI 3.101
|univz=[http://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=88215&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
On April 21st, at 15:30, there will be an organizational meeting, in 3.101. An introduction to the lab course, including a tour of the actual lab will be given.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from 18th April onwards. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] an email with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Summer Semester 2016''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | Jonah Windolph & Maxim Titov
| {{BgGreen}} | Xiguang Zhang & Rouven Woscholski
| {{BgGreen}} | Yannik Richter & Benedict Spermoser
| {{BgGreen}} | Domenico Barbato & Tomàs Filìpek
| {{BgGreen}} | Raphael Michna & Sebastin Ferratsch
|}

==Lab Slots during the semester break ==
Each team has two weeks (approximately 10 working days) during the semester break. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni me] an email with the preferred slot and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="8" align="center" | ''Summer Semester Break, 2016''
|-
|{{Hl2}} |'''Jul 18 - Jul 29'''
|{{Hl2}} |'''Aug 1 - Aug 12'''
|{{Hl2}} |'''Aug 15 - Aug 26'''
|{{Hl2}} |'''Aug 29 - Sep 09'''
|{{Hl2}} |'''Sep 12 - Sep 23'''
|{{Hl2}} |'''Sep 26 - Oct 07'''
|-
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
|}

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2016)

2016-04-18T07:52:32Z

Skulkar: /* Topics */

== Details ==

{{Announcement|Note:
Please check the topic availability and register for the course with the topic supervisors directly via sending emails.}}

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://www.net.informatik.uni-goettingen.de/people/xu_chen Dr. Xu Chen]
|ta=[None]
|time=April 14, 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

==Passing requirements==
*Actively and frequently participate in the project communication with your topic advisor
**This accounts for 20% of your grade.
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 40% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''April 14, 16:00ct''': Introduction meeting
* '''Aug. 04, 2016''' : Deadline for registration
* '''Aug. 11, 2016''' : Presentations
* '''Sept. 30, 2016, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)

==Final Presentation==
To be determined

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| '''What Will 5G Be? - A Survey (assigned)'''
This study is to provide a comprehensive survey on the key enabling communication technologies for 5G networks.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6824752]
|-
| '''What Will Smart Grid Be? – A Survey (assigned)'''
The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. This study is to provide a comprehensive survey on the key enabling technologies and services for Smart Grid.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6099519]
|-
| '''Towards a Pricing Model in NFV (assigned to Mohammad Sahihi Benis)'''
One of the untouched research areas in Network Function Virtualization (NFV) is Accounting Management. Your task is to first identify the current Management systems that used in Data centers and cloud computing environments and later to map what you think it might be useful in NFV area. You should support your statement with logical reasons so far. It is not required to conducted any empirical work.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7243304][http://store.elsevier.com/Cloud-Data-Centers-and-Cost-Modeling/Caesar-Wu/isbn-9780128014134/][http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7378433]
|-
| '''What can NFV brings comparing to virtual machines in the security area?(assigned to Alireza Amiri)'''
Another untouched area is security. Although ETSI had published couple of documents orgnizing the rcommendation regarding NFV operations, a detialed approches should be published to address multiple challenges in details. Your task is to identify the thread vector in NFV and compare it to what have been done in VMs world.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7243304][http://www.etsi.org/deliver/etsi_gs/NFV-SEC/001_099/003/01.01.01_60/gs_NFV-SEC003v010101p.pdf][http://www.etsi.org/deliver/etsi_gs/NFV-SEC/001_099/001/01.01.01_60/gs_NFV-SEC001v010101p.pdf]
|-
|-
| '''What is the current status and future of SDN research? What are the main research problems of SDN? (assigned to Tayyebe Emadinia)'''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what research problems exist and also identify promising solutions.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking][http://arxiv.org/pdf/1406.0440v3.pdf], Take a look at recent papers in well known conferences/workshops.

|-
| '''What is the current status and future of cloud related research? What are the main research problems that are currently being targeted? (assigned to Imaad Mohamed Khan)'''
Cloud computing and cloud based services have become an integral part of the Internet. The aim of this work is to study what research problems exist and also identify promising solutions. Topics pertaining to Data Centers are also of relevance.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| Take a look at recent papers in well known conferences/workshops.
|-
| '''Hi, AlphaGo! --- Deep into Google DeepMind (assigned to Aynur Amirfallah)'''
The first computer program to ever beat a professional player at the game of Go.
| [https://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang ]
| [https://deepmind.com/alpha-go.html]
|-
| '''Web Scraping and Anti-Scraping Technique (assigned to Chencheng Liang)'''
A scraper site is a website that copies content from other websites using web scraping. The purpose of creating such a site can be to earn revenue, usually through advertising and sometimes by selling data. Scraper sites come in various forms, ranging from spammy content sites, to price aggregation and shopping sites, and also web search engines such as Yahoo and online maps such as Google Maps.
| [https://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang ]
| [Please search relevant papers yourself.]
|-
|'''ICN - Information Centric Networking '''

Content Centric Networking (CCN) is a new ambitious proposal to replace the IP protocol. A better and faster content distribution, improved privacy, integrated cryptography and easy P2P communication are among the key elements of this architecture. On the other hand problems like efficiency and scalability of the name-based routing, support of existing application and new ones and the possibility to actually deploy this technology are still open and actively discussed, making CCN one of the most active research field in networking.

By choosing this topic you will gain a general knowledge of the many architecture proposed for ICN and will have to gain insight into one of the problems like routing or security, or solutions (i.e. applications on top of NDN).

- '''Multiple topics available''': Routing, Congestion control, network management, security, Mobile&vehicular, Evaluation strategy, naming
- [http://named-data.net/wp-content/uploads/2013/10/ndn-annualreport2012-2013.pdf NDN technical report]
- [http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
| Sripriya Adhatarao (adhatarao@cs.uni-goettingen.de)
|For general introduction:
*[http://named-data.net/a-new-way-to-look-at-networking/ Video presenting NDN]
*[http://named-data.net/wp-content/uploads/Jacob.pdf First proposal on Content Centric Networking]
*[http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
|-
| '''Learning from Imbalanced Data (assigned to Georgios Kaklamanos)'''
When building and training classifiers for classification problems, one commonly encountered problem is that of imbalanced data. For instance, in the case of a binary classifier, this means that one class is hugely overrepresented in the data available. Training classifiers for this kind of datasets has been a problem for some time. In this work, your task is to i) precisely introduce the imbalanced data problem, ii) discuss the state of the art of approaches for mitigating this problem (both from the perspective of learning algorithms and data manipulation techniques) and iii) find out what issues still remain open until today. Note that this topic requires a background in data science, and in particular in classification algorithms. Also, this topic requires a comparatively high reading effort.
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5128907&tag=1]
|-
| '''Deep Learning and its (possible) flaws (assigned to Christoph Rauterberg)'''
One recent trend in machine learning is 'deep learning', where neural networks are employed for solving a wide range of problems. One prominent example of such problems is image classification. While neural networks are in fact delivering sometimes great results, they may also have some weak spots. In this work, your task is to i) make yourself familiar with neural networks, ii) discuss the state-of-the-art in image classification, and iii) to investigate some possible flaws in neural networks. Note that for this topic a background in data science, and in particular in classification algorithms, is strongly recommended. Also, this topic requires a comparatively high reading effort.
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://arxiv.org/abs/1404.7828][http://arxiv.org/pdf/1411.4555v1.pdf][http://arxiv.org/abs/1412.1897]
|-
|'''Service Plane for Network Functions: Network Service Headers and Other alternatives'''

Focus of this topic is to understand 'Service Function Chaining of Network Functions', the state-of-the-art proposals like Network Service Headers and related academic works. Reason and justify the need for service plane and then try to propose new mechanisms and design of the data plane to support network services, and the control plane functions necessary to manage these data plane functions.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6733615] [http://conferences2.sigcomm.org/acm-icn/2014/papers/p107.pdf] [https://tools.ietf.org/pdf/draft-quinn-sfc-nsh-07.pdf]
|-

|'''Challenges and Opportunities in the Cloud - A survey (assigned to Christian Aschenbrenner)'''

Focus of this topic is to study the advancements that have happened over the last decade in Virtualization and Cloud computing. Develop an understanding towards the needs of Datacenter and Cloud computing service models, identify the challenges with Virtualization/VM's in Datacenter/Cloud and address some opportunistic prospects thereof.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf] [http://arxiv.org/pdf/1312.4722v2.pdf] [http://media.johnwiley.com.au/product_data/excerpt/90/04708879/0470887990-180.pdf] [http://www-07.ibm.com/solutions/in/education/download/Virtualization%20in%20Education.pdf]
|-

| '''Caching mechanisms in ICN-A survey'''
As one key feature of ICN, in-network caching receives widespread research interest. where are the data copy need to be cached, and how to process the replacement problem become the key to improve ICN performance.
| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6883812] [https://www.ee.ucl.ac.uk/~gpavlou/Publications/Conference-papers/Chai-12a.pdf]
|-
|'''Scalable routing in ICN -A survey '''

Routing scalability is a great challenge for ICN's feasibility. How to manage the huge namespace of ICN in a limited FIB without much effect on routing efficiency has drawn more and more attention.

| [http://www.net.informatik.uni-goettingen.de/people/jie_li Jie Li]
| [http://named-data.net/wp-content/uploads/2014/08/ndn-tr-4-scaling-ndn-routing.pdf] [http://www.ee.ucl.ac.uk/~uceeips/hashroute-icn13.pdf]
|-

|'''Urban Sensing Using Mobile Phone Network Data -A survey (assigned to Dorna Amiri) '''

The recent development of telecommunication networks is producing an unprecedented wealth of information. Mobile phone datasets offer access to insights into urban dynamics
and human activities at an unprecedented scale and level of detail, representing a huge opportunity for research and real-world applications. This study is to provide a survey on key techniques related to the use of telecommunication data for urban sensing.

| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao(Tao.Zhao@cs.uni-goettingen.de)]
| [http://dl.acm.org/citation.cfm?id=2655691]
|-

|'''Trust in social networks -A survey (assigned to Vidya)'''

Web-based social networks have become popular as a medium for disseminating information and connecting like-minded people. The public accessibility of such networks with the ability to share opinions, thoughts, information, and experience offers great promise to enterprises and governments. In addition to individuals using such networks to connect to their friends and families, governments and enterprises have started exploiting these platforms for delivering their services to citizens and customers. However, the success of such attempts relies on the level of trust that members have with each other as well as with the service provider. This study is to give a comprehensive survey of key technologies on trust in social networks.

| [http://www.net.informatik.uni-goettingen.de/people/tao_zhao Tao Zhao (Tao.Zhao@cs.uni-goettingen.de)]
| [http://dl.acm.org/citation.cfm?id=2501661]
|-

|'''Application of Packet Sampling in Computer Security - A Survey'''

Today we have lot of reactive solutions for detecting security attacks. Packet sampling is one of the way to monitor real time network traffic. The aim of this work is to find whether packet sampling techniques like sflow, netflow are matured enough to detect security attacks?
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan_s_prasad Abhinandan S Prasad]
| [http://www.sflow.org/packetSamplingBasics/]
| [http://www.cse.unr.edu/~mgunes/papers/JNCA13.pdf]
| [http://cs.uccs.edu/~jkalita/papers/2014/HoqueNetworkAttacksJCNA2014.pdf]
|-

|'''Game theory based solutions in Computer Network Security - A Survey'''

Game theory is the mathematical study of conflict and co-operation between rational agents. Game theory is widely used in the computer network security to detect and mitigate attacks. The aim of work is to perform survey on the recent advances in the field.
| [http://www.net.informatik.uni-goettingen.de/people/abhinandan_s_prasad Abhinandan S Prasad]
| [https://en.wikipedia.org/wiki/Game_theory]
| [http://dl.acm.org/citation.cfm?id=2480742]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6238282]
| [http://people.cis.ksu.edu/~sroy/hicss43.pdf]
| [http://cs.uccs.edu/~jkalita/papers/2014/HoqueNetworkAttacksJCNA2014.pdf]
|-

|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
20 minutes are too short to present a topic fully.
It is alright to focus just on one certain important aspect.
Limit the introduction of basics.
Make sure to ﬁnish in time.

Suggestions for preparing the slides:
No more than 20 pages/slides.
Get your audiences to quickly understand the general idea.
Figures, tables and animations are better than sentences.
Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Seminar on Internet Technologies (Summer 2016)

2016-04-08T11:52:19Z

Skulkar: /* Topics */

== Details ==

{{Announcement|Note:
Please check the topic availability and register for the course with the topic supervisors directly via sending emails.}}

{{CourseDetails
|credits=5 ECTS (BSc/MSc AI); 5 (ITIS)
|module= M.Inf.1124 ''-or-'' B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
|lecturer=[http://www.net.informatik.uni-goettingen.de/people/xu_chen Dr. Xu Chen]
|ta=[None]
|time=April 14, 16:00ct: Introduction Meeting
|place=IFI Building, Room 3.101
|univz=[https://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=148938&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Course description==

This course covers selected topics on the up-to-date Internet technologies and research. Each student takes a topic, does a presentation and writes a report on it. Besides the introduction meeting on October 29, there are no regular meetings, lectures or classes for this course. The purpose of this course is to familiarize the students with new technologies, enable independent study of a specific topic, and train presentation and writing skills.

The informational meeting at the beginning of the course will cover some guidelines on scientific presenting and writing.

==Passing requirements==
* Present the selected topic (20 min. presentation + 10 min. Q&A).
** This accounts for 40% of your grade.
* Write a report on the selected topic (12-15 pages) (LaTeX Template:[ftp://ftp.springer.de/pub/tex/latex/llncs/latex2e/llncs2e.zip]).
** This accounts for 60% of your grade.
* Please check the [[#Schedule]] and adhere to it.

==Schedule==
* '''April 29, 16:00ct''': Informational meeting '''([[Media:sitintro.pdf‎ | Introduction Slides]])'''
* '''Aug. 04, 2016''' : Deadline for registration
* '''Aug. 11, 2016''' : Presentations
* '''Sept. 30, 2016, 23:59''': Deadline for submission of report (should be sent to the topic adviser!)

==Final Presentation==
To be determined

== Topics ==

{| align="center" class="wikitable sortable" {{Prettytable}}
|-
|{{Hl2}} |'''Topic'''
|{{Hl2}} |'''Topic Advisor'''
|{{Hl2}} |'''Initial Readings'''
|-
| '''What Will 5G Be? - A Survey (assigned)'''
This study is to provide a comprehensive survey on the key enabling communication technologies for 5G networks.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6824752]
|-
| '''What Will Smart Grid Be? – A Survey (assigned)'''
The Smart Grid, regarded as the next generation power grid, uses two-way flows of electricity and information to create a widely distributed automated energy delivery network. This study is to provide a comprehensive survey on the key enabling technologies and services for Smart Grid.
| [http://www.net.informatik.uni-goettingen.de/people/xu_chen Xu Chen]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6099519]
|-
| '''Towards a Pricing Model in NFV'''
One of the untouched research areas in Network Function Virtualization (NFV) is Accounting Management. Your task is to first identify the current Management systems that used in Data centers and cloud computing environments and later to map what you think it might be useful in NFV area. You should support your statement with logical reasons so far. It is not required to conducted any empirical work.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7243304][http://store.elsevier.com/Cloud-Data-Centers-and-Cost-Modeling/Caesar-Wu/isbn-9780128014134/][http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7378433]
|-
| '''What can NFV brings comparing to virtual machines in the security area?'''
Another untouched area is security. Although ETSI had published couple of documents orgnizing the rcommendation regarding NFV operations, a detialed approches should be published to address multiple challenges in details. Your task is to identify the thread vector in NFV and compare it to what have been done in VMs world.
| [http://www.net.informatik.uni-goettingen.de/people/osamah_barakat Osamah Barakat]
| [http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7243304][http://www.etsi.org/deliver/etsi_gs/NFV-SEC/001_099/003/01.01.01_60/gs_NFV-SEC003v010101p.pdf][http://www.etsi.org/deliver/etsi_gs/NFV-SEC/001_099/001/01.01.01_60/gs_NFV-SEC001v010101p.pdf]
|-
|-
| '''What is the current status and future of SDN research? What are the main research problems of SDN? (assigned to Tayyebe Emadinia)'''
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what research problems exist and also identify promising solutions.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| [http://en.wikipedia.org/wiki/Software-defined_networking][http://arxiv.org/pdf/1406.0440v3.pdf], Take a look at recent papers in well known conferences/workshops.

|-
| '''What is the current status and future of cloud related research? What are the main research problems that are currently being targeted? (assigned to Imaad Mohamed Khan)'''
Cloud computing and cloud based services have become an integral part of the Internet. The aim of this work is to study what research problems exist and also identify promising solutions. Topics pertaining to Data Centers are also of relevance.
| [http://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai Mayutan Arumaithurai]
| Take a look at recent papers in well known conferences/workshops.
|-
| '''Hi, AlphaGo! --- Deep into Google DeepMind (assigned to Aynur Amirfallah)'''
The first computer program to ever beat a professional player at the game of Go.
| [https://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang ]
| [https://deepmind.com/alpha-go.html]
|-
| '''Web Scraping and Anti-Scraping Technique (assigned to Atefeh Khajeh)'''
A scraper site is a website that copies content from other websites using web scraping. The purpose of creating such a site can be to earn revenue, usually through advertising and sometimes by selling data. Scraper sites come in various forms, ranging from spammy content sites, to price aggregation and shopping sites, and also web search engines such as Yahoo and online maps such as Google Maps.
| [https://www.net.informatik.uni-goettingen.de/people/hong_huang Hong Huang ]
| [Please search relevant papers yourself.]
|-
|'''ICN - Information Centric Networking'''

Content Centric Networking (CCN) is a new ambitious proposal to replace the IP protocol. A better and faster content distribution, improved privacy, integrated cryptography and easy P2P communication are among the key elements of this architecture. On the other hand problems like efficiency and scalability of the name-based routing, support of existing application and new ones and the possibility to actually deploy this technology are still open and actively discussed, making CCN one of the most active research field in networking.

By choosing this topic you will gain a general knowledge of the many architecture proposed for ICN and will have to gain insight into one of the problems like routing or security, or solutions (i.e. applications on top of NDN).

- Topics available: Routing, Congestion control, network management, security, Mobile&vehicular, Evaluation strategy, naming
- [http://named-data.net/wp-content/uploads/2013/10/ndn-annualreport2012-2013.pdf NDN technical report]
- [http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
| Sripriya Adhatarao
|For general introduction:
*[http://named-data.net/a-new-way-to-look-at-networking/ Video presenting NDN]
*[http://named-data.net/wp-content/uploads/Jacob.pdf First proposal on Content Centric Networking]
*[http://tools.ietf.org/pdf/draft-pentikousis-icn-scenarios-04.pdf ICN Base line scenarios]
|-
| '''Learning from Imbalanced Data'''
When building and training classifiers for classification problems, one commonly encountered problem is that of imbalanced data. For instance, in the case of a binary classifier, this means that one class is hugely overrepresented in the data available. Training classifiers for this kind of datasets has been a problem for some time. In this work, your task is to i) precisely introduce the imbalanced data problem, ii) discuss the state of the art of approaches for mitigating this problem (both from the perspective of learning algorithms and data manipulation techniques) and iii) find out what issues still remain open until today. Note that this topic requires a background in data science, and in particular in classification algorithms. Also, this topic requires a comparatively high reading effort.
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5128907&tag=1]
|-
| '''Deep Learning and its (possible) flaws'''
One recent trend in machine learning is 'deep learning', where neural networks are employed for solving a wide range of problems. One prominent example of such problems is image classification. While neural networks are in fact delivering sometimes great results, they may also have some weak spots. In this work, your task is to i) make yourself familiar with neural networks, ii) discuss the state-of-the-art in image classification, and iii) to investigate some possible flaws in neural networks. Note that for this topic a background in data science, and in particular in classification algorithms, is strongly recommended. Also, this topic requires a comparatively high reading effort.
| [https://www.net.informatik.uni-goettingen.de/people/David_Koll David Koll ]
| [http://arxiv.org/abs/1404.7828][http://arxiv.org/pdf/1411.4555v1.pdf][http://arxiv.org/abs/1412.1897]
|-
|'''Service Plane for Network Functions: Network Service Headers and Other alternatives'''

Focus of this topic is to understand 'Service Function Chaining of Network Functions', the state-of-the-art proposals like Network Service Headers and related academic works. Reason and justify the need for service plane and then try to propose new mechanisms and design of the data plane to support network services, and the control plane functions necessary to manage these data plane functions.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6733615] [http://conferences2.sigcomm.org/acm-icn/2014/papers/p107.pdf] [https://tools.ietf.org/pdf/draft-quinn-sfc-nsh-07.pdf]
|-

|'''Challenges and Opportunities in the Cloud - A survey '''

Focus of this topic is to study the advancements that have happened over the last decade in Virtualization and Cloud computing. Develop an understanding towards the needs of Datacenter and Cloud computing service models, identify the challenges with Virtualization/VM's in Datacenter/Cloud and address some opportunistic prospects thereof.

| [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
| [http://csrc.nist.gov/publications/nistpubs/800-145/SP800-145.pdf] [http://arxiv.org/pdf/1312.4722v2.pdf] [http://media.johnwiley.com.au/product_data/excerpt/90/04708879/0470887990-180.pdf] [http://www-07.ibm.com/solutions/in/education/download/Virtualization%20in%20Education.pdf]
|-

|}

==Workﬂow==

=== 1. Select a topic ===
A student picks a topic to work on. You can pick up a topic and start working '''at any time'''. However, make sure to notify the advisor of the topic before starting to work.

=== 2. Get your work advised ===
For each topic, a topic advisor is available. He is your contact person for questions and problems regarding the topic. He supports you as much as you want, so please do not hesitate to approach him for any advice or with any questions you might have. It is recommended (and not mandatory) that you schedule a face-to-face meeting with him right after you select your topic.

=== 3. Approach your topic ===

* By choosing a topic, you choose the direction of elaboration.
* You may work in different styles, for example:
** Survey: Basic introduction, overview of the ﬁeld; general problems, methods, approaches.
** Specific problem: Detailed introduction, details about the problem and the solution.
* You should include your own thoughts on your topic.

=== 4. Prepare your presentation ===

* Present your topic to the audience (in English).
* 20 minutes of presentation followed by 10 minutes discussion.

You present your topic to an audience of students and other interested people (usually the [http://www.net.informatik.uni-goettingen.de/ NET] group members). Your presentation should give the audience a general idea of the topic and highlight interesting problems and solutions. You have 20 minutes to present your topic followed by 10 minutes of discussion. You must keep it within the time limit. Please send your slides to your topic advisor for any possible feedback before your presentation.

Hints for preparing the presentation:
* 20 minutes are too short to present a topic fully.
* It is alright to focus just on one certain important aspect.
* Limit the introduction of basics (5 min.).
* Make sure to ﬁnish in time.

Suggestions for preparing the slides:
* No more than 20 pages/slides.
* Get your audiences to quickly understand the general idea.
* Figures, tables and animations are better than sentences.
* Summary of the topic: thinking in your own words.

=== 5. Write your report ===

* Present the problem with its background.
* Detail the approaches, techniques, methods to handle the problem.
* Evaluate and assess those approaches (e.g., pros and cons).
* Give a short outlook on potential future developments.

The report must be written in English according to common guidelines for scientific papers, between 12 and 15 pages of content (excluding the table of content, bibliography, etc.).

=== 6. Course schedule===
There are no regular meetings, lectures or classes for this course. The work is expected to be done by yourself with the assistance of your topic advisor. Please follow the [[#Schedule]] to take appropriate actions.

[[Category:Courses]]

Practical Course Networking Lab (Winter 2015/2016)

2016-01-27T11:00:37Z

Skulkar: /* Lab Slots during the semester break */

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
|time= organizational meeting - October 29th, 3pm (15:00)
|place=IfI 3.101
|univz=[http://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=88215&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
On October 29th, at 3pm, there will be an organizational meeting, in 3.101. An introduction to the lab course, including a tour of the actual lab will be given.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from November 1st on. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] an email with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Winter Semester 2015-2016''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | FREE
| {{BgGreen}} | FREE
| {{BgGreen}} | Sun Xu and Zhao Zhe.
| {{BgGreen}} | FREE
| {{BgGreen}} | FREE
|}

==Lab Slots during the semester break ==
Each team has two weeks (approximately 10 working days) during the semester break. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni me] an email with the preferred slot and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="8" align="center" | ''Winter Semester Break, 2015-2016''
|-
|{{Hl2}} |'''Feb 15 - Feb 26'''
|{{Hl2}} |'''Feb 29 - Mar 11'''
|{{Hl2}} |'''Mar 14 - Mar 26'''
|{{Hl2}} |'''Mar 28 - Apr 08'''
|{{Hl2}} |'''Apr 11 - Apr 22'''
|-
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Christian Melching and Sven Voigt
| {{BgGreen}} | Free
|}

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Seminar on Internet Technologies (Winter 2015/2016)

2016-01-14T18:04:54Z

Skulkar:

Practical Course Networking Lab (Winter 2015/2016)

2016-01-13T11:18:00Z

Skulkar:

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
|time= organizational meeting - October 29th, 3pm (15:00)
|place=IfI 3.101
|univz=[http://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=88215&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
On October 29th, at 3pm, there will be an organizational meeting, in 3.101. An introduction to the lab course, including a tour of the actual lab will be given.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from November 1st on. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] an email with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Winter Semester 2015-2016''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | FREE
| {{BgGreen}} | FREE
| {{BgGreen}} | Sun Xu and Zhao Zhe.
| {{BgGreen}} | FREE
| {{BgGreen}} | FREE
|}

==Lab Slots during the semester break ==
Each team has two weeks (approximately 10 working days) during the semester break. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni me] an email with the preferred slot and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="8" align="center" | ''Winter Semester Break, 2015-2016''
|-
|{{Hl2}} |'''Feb 15 - Feb 26'''
|{{Hl2}} |'''Feb 29 - Mar 11'''
|{{Hl2}} |'''Mar 14 - Mar 26'''
|{{Hl2}} |'''Mar 28 - Apr 08'''
|{{Hl2}} |'''Apr 11 - Apr 22'''
|{{Hl2}} |'''Apr 25 - May 06'''
|{{Hl2}} |'''May 09 - May 20'''
|-
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Christian Melching and Sven Voigt
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
|}

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Seminar on Internet Technologies (Winter 2015/2016)

2015-11-04T13:56:12Z

Skulkar:

Practical Course Networking Lab (Winter 2015/2016)

2015-11-02T15:46:04Z

Skulkar: /* Lab Slots */

[[File:teaching_lab1.png|200px|thumb|right|NET Teaching Lab where this course takes place.]]
This course offers students a hands-on approach to computer networking. The students are given practical tasks from the area of computer networks which they have to solve in a small team. The course aims to familiarize the students with practical issues of computer network setup, configuration, operation and maintenance.

== Details ==


{{CourseDetails
|credits=180h, 6 ECTS
|module=B.Inf.802/803/804: Fachpraktikum I/II/III
|lecturer = [https://www.net.informatik.uni-goettingen.de/people/mayutan_arumaithurai?lang=de Mayutan Arumaithurai]
|ta = [http://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer Kulkarni]
|time= organizational meeting - October 29th, 3pm (15:00)
|place=IfI 3.101
|univz=[http://univz.uni-goettingen.de/qisserver/rds?state=verpublish&status=init&vmfile=no&publishid=88215&moduleCall=webInfo&publishConfFile=webInfo&publishSubDir=veranstaltung]
}}

==Prerequisites==
This course requires fair overall knowledge of networking protocols. The exercises will be done using the Linux operating system and Cisco routers.

It is ''recommended'' to have attended the following courses prior to taking this one:
*Computer Networks

==Organization and Examination==
=== Informational meeting ===
On October 29th, at 3pm, there will be an organizational meeting, in 3.101. An introduction to the lab course, including a tour of the actual lab will be given.

===Lab teams===
The students will conduct the practical course in small teams. A team normally consist of 2 students. If you miss a team member, you can come to the introductionary meeting look for a team mate there.

===Weekly exercises and written reports===
The course consists of weekly exercises related to computer networks. Each team is expected to complete those exercises and compile a short written report every week.

==Passing requirements==
{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}
* Complete all the labs and submit the lab report on time. For a report to be acceptable, a reasonably complete answer to each question is expected.
* Participate in a final personal-meeting/feedback-round with Professor.

==Lab Slots==
Each team has one weekday reserved, for ten weeks, from November 1st on. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni Sameer] an email with the preferred day and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="6" align="center" | ''Winter Semester 2015-2016''
|-
|{{Hl2}} |'''Mon'''
|{{Hl2}} |'''Tue'''
|{{Hl2}} |'''Wed'''
|{{Hl2}} |'''Thu'''
|{{Hl2}} |'''Fri'''
|-
| {{BgGreen}} | FREE
| {{BgGreen}} | FREE
| {{BgGreen}} | Sun Xu and Zhao Zhe.
| {{BgGreen}} | FREE
| {{BgGreen}} | FREE
|}

==Lab Slots during the semester break ==
Each team has two weeks (approximately 10 working days) during the semester break. To register a team, send [https://www.net.informatik.uni-goettingen.de/people/sameer_kulkarni me] an email with the preferred slot and the name, student number and email address of the team members.

{{Announcement|Note: Don't forget to officially register for the the course in flexnow, else you won't get your grades.}}

{| align="center" {{Prettytable}}
| colspan="8" align="center" | ''Winter Semester Break, 2015-2016''
|-
|{{Hl2}} |'''Feb 15 - Feb 26'''
|{{Hl2}} |'''Feb 29 - Mar 11'''
|{{Hl2}} |'''Mar 14 - Mar 26'''
|{{Hl2}} |'''Mar 28 - Apr 08'''
|{{Hl2}} |'''Apr 11 - Apr 22'''
|{{Hl2}} |'''Apr 25 - May 06'''
|{{Hl2}} |'''May 09 - May 20'''
|-
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
| {{BgGreen}} | Free
|}

== Course Materials ==

The course is based on the book "Mastering Networks - An Internet Lab Manual" by Jörg Liebeherr and Magda El Zarki. [http://www.tcpip-lab.net/ http://www.tcpip-lab.net/]

You find all the relevant course material in the [https://wiki.net.informatik.uni-goettingen.de/lab/Main_Page '''Networking Lab Wiki'''].

[[Category:Courses]]

Seminar on Internet Technologies (Winter 2015/2016)

2015-10-29T16:03:17Z

Skulkar:

Seminar on Internet Technologies (Winter 2015/2016)

2015-10-25T19:01:00Z

Skulkar:

Seminar on Internet Technologies (Winter 2015/2016)

2015-10-23T14:41:31Z

Skulkar: /* Topics */

Practical Course Networking Lab (Summer 2015)

2015-04-17T14:04:50Z

Skulkar: /* Lab Slots */

Practical Course Networking Lab (Summer 2015)

2015-04-17T14:03:55Z

Skulkar: /* Lab Slots */