Seminar on Internet Technologies (Winter 2014/2015)
Details
| Workload/ECTS Credits: | 5 ECTS (BSc/MSc 2014); 6 ECTS (BSc/MSc 2012); 5 (ITIS) |
| Module: | 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: | October 23rd, 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 23rd, 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
Schedule
- October 23rd, 16:00ct: 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 |
|
Understanding Modern Web Service Deployment in EC2 and Azure Today, web services are increasingly being deployed in infrastructure-as-a-service (IaaS) clouds such as Amazon EC2, Windows Azure, and Rackspace. Hence, it is critical to understand the usage patterns and identifies ways in which cloud tenants could better leverage IaaS clouds. |
Yuan Zhang | [3][4] |
| Bandwidth Usage for Mobile Apps
Understanding the resource usage of mobile Apps is critical for developing novel recommendations and detailed best practice suggestions for mobile web content, browser, network protocol, and smartphone OS design. |
Yuan Zhang | [5][6] |
| Efficient crowdsourcing for multi-class labeling
Crowdsourcing systems like Amazon's Mechanical Turk have emerged as an effective large-scale human-powered platform for performing tasks in domains such as image classification, data entry, recommendation, and proofreading. Since workers are low-paid (a few cents per task) and tasks performed are monotonous, the answers obtained are noisy and hence unreliable. To obtain reliable estimates, it is essential to utilize appropriate inference algorithms (e.g. Majority voting) coupled with structured redundancy through task assignment. |
Yuan Zhang | [7] |
| Technical, Economical and Ethical Issues with Net Neutrality -- or the Lack thereof (Assigned to Uche Oteh)
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 | [8] |
| Advances in Networking towards The Internet of Things (Assigned to Giovanna Parra)
The idea of Internet of Things -- or IoT -- is to interconnect uniquely identifiable embedded computing devices within the existing Internet infrastructure [9]. Over 25 billion of such devices are expected to be connected within the IoT by 2020. The IETF has recently released a protocol suite to enable communication between the devices. In this topic, the most recent advances towards the IoT should be investigated to obtain a clear overview of where both research and industry are currently standing and whether or not the 2020 estimation is still valid. |
David Koll | [10][11][12] |
| Smart Q&A systems: what it is and how it works (Assigned to Xi Wang) | Hong Huang | [TBA] |
| Semantic Matching in Search
Relevance is the most important factor to assure users’ satisfaction in search and the success of a search engine heavily depends on its performance on relevance. It has been observed that most of the dissatisfaction cases in relevance are due to term mismatch between queries and documents (e.g., query “ny times” does not match well with a document only containing “New York Times”), because term matching, i.e., the bag-of-words approach, still functions as the main mechanism of modern search engines. |
Hong Huang | [13] |
| Use Skype to make emergency (112) calls: What are the challenges and means to solve this? Assigned to Guri Singh
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 | [14] |
| What is the future of SDN? What are the different products that exist and their properties and promising application scenarios? Assigned to Karthik Sharma
There is a lot of hype about SDN with industries, operators and Academia showing interest. The aim of this work is to study what products exist and also identify promising application scenarios. |
Mayutan Arumaithurai | [15] |
| What is the future of SDN research? What are the main research problems of SDN? Assigned to Siddhartha Gupta
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 | [16] |
| Task cooperation or offloading in Mobile Device Cloud (Assigned to Tare Pranay)
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 | [17] [18] |
| Put Cloudlet Concept into Reality
Nowadays, smartphones, handheld devices, and wearable computing devices are part of the third group of cloud-based resources which is proximate mobile computing entities. Cloudlet concept combining surrounding computing resources is proposed to facilitate mobile device service. In this topic, students are required to investigate how to design and leverage Cloudlet into real system. |
Lingjun Pu | [19] [20] |
| On the recognition of 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. The student shall give a structured overview on recent advances in this field. |
Stephan Sigg | [21] [22] [23] [24] |
| Utilising the wireless channel as a mathematical calculator - Summarising recent advances
This topic focuses recent research efforts towards the calculation of mathematical functions on the wireless channel. The student shall give a structured overview on recent advances in this field. |
Stephan Sigg | [25] [26] |
| Spark: the state of the art engine for big data processing (Assigned to Ramaninder Singh Jhajj)
Due to the increasing popularity of multi-core CPU and computer cluster, many ideas, techniques and software on leveraging this new computing platform have been developed in recent few years. Since this is a huge area, in this topic, students are only required to investigate a few specific ideas and techniques, such as MapReduce, Hadoop and Spark. We hope that students can understand and teach the audience the basic ideas and get hands dirty on some big data processing tools. |
Narisu Tao | [27][28] [29] |
| Kaggle: a platform for making data science a sport (Assigned to Hari Raghavendar Rao Bandari)
Kaggle is a website where companies and researchers post their data and prediction problems and data scientists from all over the world compete to produce the best models. The student taking this topic will answer the following questions: what is data scientist? What kinds of skills are owned by data scientist? How do Kaggle competitions work? We hope that the student can not only answer above high level questions, but can tell us some personal experience by engaging one of these competition. |
Narisu Tao | [30][31] [32] |
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 David and 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.