Performance evaluation of MapReduce applications

Project Information

Discipline
Computer Science (401) 
Orientation
Research 
Abstract

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 Merit

This 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 Impacts

In 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
 
Use of FutureGrid

NOTE: NEED TO BE FILLED BY THE PROJECT LEAD

Scale of Use

a few VMs for an experiment

Project Timeline

Submitted
12/02/2010 - 22:26 
Completed
10/24/2011 
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