Mobile Data Management

This is a team project. Each team comprises 3-4 members. Each team should identify a topic on mobile data management, and do ONE of the followings, and give a presentation of the project.

Survey Paper

• Read at least 6 papers on the topic
• Write a survey paper that should cover the followings:
• Introduction and problem definition (motivation and application domain)
• Summaries of the techniques developed in each paper, clearly highlighting each algorithm's strengths and weaknesses
• A taxonomy of the various techniques, if any can be derived
• Future directions
• The paper should be no more than 8 double-columned pages. The template for the survey should be done in ACM conference format. Here's the link to the format:

http://www.acm.org/sigs/pubs/proceed/template.html

• You will be graded on (a) understanding of the papers, (b) linguistic ability (organization, presentation, English), (c) critique of papers.

Research Paper

• Identify a “research” problem. Note that problem must make sense.
• Design a solution to the problem, and show (either analytically or through a simulation study or prototype implementation) that the proposed solution is superior to existing techniques.
• Submit a (at most) 6 double-columned page paper on the problem and solution(s) and preliminary results, if any. See Survey for template for the paper.
• You will be graded on (a) paper (clarity, organization, etc), (b) originality and feasibility of solution, (c) effectiveness of solution.

Demonstration of a Prototype Implementation

• Identify a problem, and examine existing solutions to the problem.
• Implement at least one of the solutions.
• Submit a (at most) 6 double-columned page paper on the problem and solution(s) and what will be demonstrated. See Survey for template for the paper.
• Submit a zipped-file of your code.
• Demonstrate your prototype
• You will be graded on (a) paper (clarity, organization, etc), (b) demonstration (the prototype works).

Suggested Topics:

You will find a list of topics from the proceedings of the following conferences

l International Conference on Mobile Data Management (MDM)

l International Workshop on Data Engineering for Wireless and Mobile Access (MobiDE)

such as:

• Theoretical foundations of data-intensive mobile computing
• Location and mobility semantics
• Data placement, caching, replication and relocation to support mobility
• Data dissemination in mobile environments
• Data presentation, scripting and exchange languages
• Data management for ubiquitous computing
• Resource advertising and discovery techniques to support mobility
• Metadata management and exchanges
• Query processing and optimization for mobile users
• Transactions and workflows in mobile computing
• Middleware support for mobility
• Multimedia delivery in 3G mobile networks
• Web access and Internet applications using mobile devices
• Context-aware computing and location-based services
• Adaptation of user interface and content
• Mobile agent platforms and ubiquitous computing applications and systems
• Operating system and network support for mobile devices
• Security and privacy issues for ubiquitous systems
• Location tracking of vehicles and goods
• Interaction of mobile applications and sensor networks
• Quality of service issues for data-intensive services
• Adaptability and stability of pervasive computing systems
• Data mining for mobile application

Other Topics

Should any team decides to work on another theme (other than Mobile Data Management), you are required to consult and seek permission from A/P Tan first. Otherwise, your work will be deemed out of scope, and you will be graded as such.

Project schedule

3 September 2007	Inform A/P Tan of the list of team members and topic
1 October 2007	Progress report – Submit a 1-page writeup on progress
12 November 2006	Project Due (Full report to be submitted)
19 November 2006	All presentations to be completed

Plagiarism

You are reminded that plagiarism is a very SERIOUS offence. Any team (i.e., ALL members of the team) found plagiarizing will immediately get zero mark for the project. In addition, disciplinary action (including possibility of expulsion from the university) will be taken against the team. The team that is being plagiarized will also be punished if it is found to have allowed the work to be plagiarized voluntarily.

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