Seminar on Internet Technologies (Winter 2018/2019)

Details

Workload/ECTS Credits:	5 ECTS (BSc/MSc AI); 5 (ITIS)
Lecturer:	Prof. Xiaoming Fu
Teaching assistant:	Shichang Ding
Time:	Oct 25'*, 16:00ct: Introduction Meeting*
Place:	IFI Building, Room 2.101
UniVZ	[1]

Note:

we will have Introduction Meeting on the second week of new Winter Semester

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 starts to work on the topic and follows 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:[2]).
- This accounts for 40% of your grade.
Please check the #Schedule and adhere to it.

Schedule

Oct. 25, 16:00ct: Introduction meeting
Jan. 10 : Deadline for registration
Jan. 17 and Jan. 18 : Presentations
Mar. 31, 2018, 23:59: Deadline for submission of report (should be sent to the topic adviser!)

Topics

Topic	Description	Prerequisites	Topic Advisor	Initial Readings
The application of Recurrent neural network in Human mobility modeling (assigned to ?)	RNN/LSTM is one of the most widely used deep learning method, especially good at sequence modeling. Human mobility is a typical class of sequence data. So until now, what and how is RNN working in human mobility area, especially in online check-ins? It requires you reading 5-6 best papers in this fields. Understanding this question will help you know the basic concept, general problems and important approahces in this ﬁeld.	Basic machine learning knowledge	[Shichang Ding--sding@gwdg.de]	[3]
Repeat Buyer Prediction for E-Commerce	A large number of new buyers are often acquired by merchants during promotions. However, many of the attracted buyers are one-time deal hunters, and the promotions may have little long-lasting impact on sales. It is important for merchants to identify who can be converted to regular loyal buyers and then target them to reduce promotion cost and increase the return on investment (ROI). Our goal in this topic is to do a survey about the key factors leading to successful purchasing actions. On the basis, further work such as purchasing prediction and personalized recommendation can be carried out.	Basic machine learning knowledge	[Zhao Bo--<bo.zhao@gwdg.de>]	[4][5]
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 engineering 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), and basic Linux skills.	Osamah Barakat	[6][7]
Open Topic	This is an open slot which is open for any student who has an idea on a new Internet Technology. This idea should not be addressed in this course during the last two years and should be 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 if possible which you will use later for research start point.	The student should have a broad knowledge of the topic.	Osamah Barakat
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)	[8]
Mobile spatial and temporal data based user profiles identification	When people using their APPs in smartphones, the communication base station will catch the URL requests from each customer. Each record is assigned to a specific user ID, and includes a time stamp and an URL request. Moreover, most frequently used APPs need location service provided by assembled GPS sensor in the smartphone, and some coordinates are contained in the URLs. With the information above, each user could be modeled by a set of spatial-temporal data. Different users could show different patterns, which includes the features like POI preference, trajectory type, usage frequency at different time and etc. We aim to cluster the users in different categories according to their spatial-temporal data.	Basic data science knowledge, Python programming and data science related libraries.	Jiaquan Zhang (jzhang@cs.uni-goettingen.de)	[9]
HTTP/2 Push-Based Streaming Over Mobile Networks With Stream Termination	HTTP adaptive streaming (HAS) has become popular for delivering videos over the Internet. However, most HAS services are currently based on the traditional HTTP/1.1, which has limitations for live streaming. Meanwhile, the new HTTP/2 was standardized in 2015 with many improvements. Therefore, a novel HTTP/2-based adaptation scheme for low-delay live streaming over mobile networks is required in nowadays.	Basic networking knowledge, at least familiar with one programming language (eg. C or Python).	Yali Yuan (yali.yuan@informatik.uni-goettingen.de)	[10]
Big data for intelligent transportation system	Big data for social transportation brings us unprecedented oppotunities for resolving transportation problems for which traditional approaches are not competent and for building nest-generation intelligent transportation systems. There are still many challenges to develop such a system. We need to fuse data from different sources, such as drivers' GPS coordinates, mobile phones' billing records and so on. Then we select the useful information from abundant information, and can process the data with using machine learning technichs.	Basic data science knowledge, Python programming and related libraries.	Yachao Shao (yshao@gwdg.de)	[11]

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 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.