Twister Collective Iterative MapReduce Development
Project Information
- Discipline
- Computer Science (401)
- Orientation
- Research
To investigate system issues of large scale data analysis using iterative MapReduce framework, we use Bravo and run Twister on it. With the large memory machines in Bravo, we can test Twister with large input data.
Intellectual MeritTo investigate system issues of large scale data analysis using iterative MapReduce framework.
Broader ImpactsTo accelerate iterative computation that fully utilizes large memory machines.
Project Contact
- Project Lead
- Bingjing Zhang (zhangbj)
- Project Manager
- Bingjing Zhang (zhangbj)
Resource Requirements
- Hardware System
-
- bravo (large memory machine at IU)
Deploy Twister on Bravo nodes and run K-means Clustering application.
Scale of UseAll nodes in Bravo
Project Timeline
- Submitted
- 10/08/2012 - 00:42