Performance Evaluation of MapReduce Applications on Cloud Computing Environment, FutureGrid

被引：0
|
作者：
Kang, Yunhee [1 ]
Fox, Geoffrey C. [2 ]
机构：
[1] Baekseok Univ, Informat & Commun Div, 115 Anseo Dong, Cheonan 330704, South Korea
[2] Indiana Univ, Pervasive Technol Inst, Bloomington, IN 47408 USA
来源：
GRID AND DISTRIBUTED COMPUTING | 2011年 / 261卷
关键词：
MapReduce application; Cloud computing; FutureGrid;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper describes the result of performance evaluation of two kinds of MapReduce applications running in the FutureGrid: a data intensive application and a computation intensive application. For this work, we construct a virtualized cluster system made of a set of VM instances. We observe that the overall performance of a data intensive application is strongly affected by the configuration of the VMs. It can be used to identify the bottleneck of the MapReduce application running on the virtualized cluster system with various VM instances.
引用
收藏
页码：77 / +
页数：2
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