Thesis Topic Details
Topic ID: |
3417 | |
Title: |
Fault Tolerance Platforms for Large-Scale Distributed Applications | |
Supervisor: |
Liming Zhu | |
Research Area: |
Cloud Computing, Software Engineering, Distributed Systems | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Xiwei Xu | |
| Topic Details | ||
Status: |
Active | |
Type: |
R & D | |
Programs: |
CS CE BIOM BINF SE | |
Group Suitable: |
Yes | |
Industrial: |
Yes | |
Pre-requisites: |
-- | |
Description: |
Fault tolerance is a major concern of modern large-scale distributed applications. However, many such applications are running on top of commodity computing infrastructures (such as public cloud) which provide little fault-tolerance mechanisms and very limited controls over the underlying infrastructure. This requires the applications to deal with the faults and uncertainties by themselves, which is difficult and cumbersome. The purpose of this project is develop new fault-tolerance platforms on top of commodity computing infrastructure for large-scale distributed applications. One example effort towards this direction is the open source projects from Netflix (http://netflix.github.com/). In this project, students will be exposed to real world cloud computing platforms and build new fault-tolerance platforms on top of them.You will be working with senior researchers and other students in a friendly environment. | |
Comments: |
-- | |
| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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