Seminar on Internet Technologies (Winter 2014/2015)

Details

Workload/ECTS Credits:	120h, 6 ECTS (New); 4 ECTS (Old); 5 (ITIS)
Module:	M.Inf.122/222: Seminar Telematik I/II -or- B.Inf.204/205: Proseminar I/II, (new Catalog:) M.Inf.1124-or- B.Inf.1207/1208; ITIS Module 3.16: Selected Topics in Internet Technologies
Lecturer:	Prof. Dr. Xiaoming Fu
Teaching assistant:	David Koll
Time:	tba
Place:	IFI Building, Room 3.101
UniVZ	tba

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. 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.

At the beginning of the course, there will be an informational meeting covering 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:[1]).
  • This accounts for 60% of your grade.
• Please check the #Schedule and adhere to it.

Schedule

• First lecture week (details TBA): Informational meeting (+ intro to presenting and writing)
• TBA: Deadline for registration in FlexNow/ITIS System
• TBA: Presentations
• March 30, 2015, 23:59: Deadline for submission of report

Topics

Topic	Topic Advisor	Initial Readings
Technical, Economical and Ethical Issues with Net Neutrality -- or the lack thereof Net neutrality refers to current state of the internet, where all data should be treated equally, without discrimination of specific flows or entities. However, this state has recently been questioned by several providers and government authorities. In this topic, the reasons and motivations for and against net neutrality should be investigated, with a focus on the technical implementations and outcomes of an Internet, where neutrality is no longer given.	David Koll	[2]
Smart Q&A systems: what it is and how it works	Hong Huang	[TBA]
Use Skype to make emergency (112) calls: What are the challenges and means to solve this? Currently, emergency service providers are not equiped to handle VoIP calls and receive voice/video/text messages. There has been quite some work done in this area and the aim of this study is to get a clear picture of how long will it be before we can make VoIP based emergency calls and what are the challenges.	Mayutan Arumaithurai	[3]
Incentive Mechanism Design for Mobile Crowdsensing Smartphones are now equipped with a set of powerful embedded sensors, such as accelerometer, digital compass, GPS, microphone, and camera. “Crowdsensing” leverages millions of personal smartphones to collect and analyze sensed data far beyond the scale of what was possible before, without the need to deploy thousands of static sensors. To embrace such a profound benefit, a proper incentive-based mechanism design would be the key, since when smartphone users participate in a crowdsensing task, they consume their own resources such as battery and computing power. In this topic, we aim to get a holistic picture of the state-of-art research literature, identify the key challenges, and develop sound technical solutions.	Xu Chen	[4] [5] [6] [7]
Task cooperation or offloading in Mobile Device Cloud With the explosion of personal mobile devices, computation offloading or task cooperation through opportunistic networks of nearby devices is increasingly gaining attainions, to support sophisticated mobile applications with limited resources (e.g., processing ability, energy and even user knowledge). Such service model is called a mobile device cloud. In this topic, we aim to investigate the state-of-art research literature, and identify the key problem challenges and holistic technical roadmap.	Lingjun Pu	[8] [9]
Recognising emotion from Social media and sensor readings Recently, there are multiple efforts to extend the capabilities of data analysis tools e.g. for social media or wearable systems towards the recognition of sentiment - human emotions and internal states. Examples are studies on emotion contagion on facebook, or the introduction of wearable technology capable to capture sentiment like prominently glasses or watches.	Stephan Sigg	[10] [11] [12] [13]

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.

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.