DocumentCode
3738280
Title
CRUSH: Data collection and analysis framework for power capped data intensive computing
Author
Anurag Gupta;Sanjeev Gupta;Rong Ge; Ziliang Zong
Author_Institution
Dept. Mathematics, Statistics and Computer Science, Marquette University, USA
fYear
2015
Firstpage
1
Lastpage
6
Abstract
Hadoop system has been widely used to support large-scale data intensive computing tasks on enterprise software infrastructure. Deploying and operating Hadoop incur high costs including hardware expenditure to build computer clusters and energy consumption to run the clusters. Building sustainable and scalable systems requires optimal power management schemes. In this paper, we present a framework, namely CRUSH, which collects power and resource usage data and provides statistical analysis for power management. We also demonstrate the usage of CRUSH in studying the effects of power capping on Hadoop jobs.
Keywords
Data processing
Publisher
ieee
Conference_Titel
Green Computing Conference and Sustainable Computing Conference (IGSC), 2015 Sixth International
Type
conf
DOI
10.1109/IGCC.2015.7393676
Filename
7393676
Link To Document