Performance evaluation of MapReduce applications
Project Information
- Discipline
- Computer Science (401)
- Orientation
- Research
In this research we elicit the main performance factors when a MapReduce application runs on its middleware in different virtual machines. For this work a system monitor is designed to aggregate information about the status of a MapReduce application and the middleware for the MapReduce application. The result of the experiment will be used to classify the type of a MapReduce application and to identify the performance barriers of the application.
Intellectual MeritThis research is import to identify the characteristics of computing resources for running a MapReduce application efficiently. FutureGrid platform is proper to this research because it provides diverse experimental environments.
Broader ImpactsIn educational point of view the result of the experiment can be used for understanding the behavior of MapReduce application.
Project Contact
- Project Lead
- Yunhee Kang (yunhkang)
- Project Manager
- Yunhee Kang (yunhkang)
- Project Members
- Jessica Jiang
Resource Requirements
- Hardware System
-
- Not sure
NOTE: NEED TO BE FILLED BY THE PROJECT LEAD
Scale of Usea few VMs for an experiment
Project Timeline
- Submitted
- 12/02/2010 - 22:26
- Completed
- 10/24/2011