Seminar on Internet Technologies (Summer 2016)

Details

Workload/ECTS 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:	Dr. Xu Chen
Teaching assistant:	[None]
Time:	April 14, 16:00ct: Introduction Meeting
Place:	IFI Building, Room 3.101
UniVZ	[1]

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:[2]).
  • This accounts for 60% of your grade.
• Please check the #Schedule and adhere to it.

Schedule

• April 29, 16:00ct: Informational meeting ( 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

Topic	Topic Advisor	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.	Xu Chen	[3]
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.	Xu Chen	[4]
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.	Osamah Barakat	[5][6][7]
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.	Osamah Barakat	[8][9][10]
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.	Mayutan Arumaithurai	[11][12], 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 ) 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.	Mayutan Arumaithurai	Take a look at recent papers in well known conferences/workshops.
Hi, AlphaGo! --- Deep into Google DeepMind The first computer program to ever beat a professional player at the game of Go.	Hong Huang	[13]
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.	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 - NDN technical report - ICN Base line scenarios	Sripriya Adhatarao	For general introduction: Video presenting NDN First proposal on Content Centric Networking 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.	David Koll	[14]
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.	David Koll	[15][16][17]

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 (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.