Combined load balancing and energy efficiency in Hadoop

doi:10.16511/j.cnki.qhdxxb.2016.26.016

CORC > 重庆绿色智能技术研究院 > 中国科学院重庆绿色智能技术研究院 > 大数据挖掘及应用中心

	Combined load balancing and energy efficiency in Hadoop
	Tian, Wenhong1,2 ; Li, Guozhong 1; Chen, Yu 1; Huang, Chaojie 1; Yang, Wutong 1
刊名	Qinghua Daxue Xuebao/Journal of Tsinghua University
	2016
卷号	56 期号:11 页码:1226-1231
ISSN号	10000054
DOI	10.16511/j.cnki.qhdxxb.2016.26.016
英文摘要	Hadoop clusters are widely used in enterprises and research institutions but there are few tools in Hadoop to dynamically load balance and improve the energy efficiency. A dynamic load balancing method with negative feedback was developed for a dynamic management system for Hadoop systems and tested using classic Hadoop benchmark examples. This method reduces the total idle time of the Hadoop nodes by 25% and reduces energy consumption by 14% on average compared with other algorithms by improving the load balancing through reducing the load variations by 10%. © 2016, Tsinghua University Press. All right reserved.
语种	中文
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/4613]
专题	大数据挖掘及应用中心
作者单位	1.School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu; 610054, China; 2.Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing; 400714, China
推荐引用方式 GB/T 7714	Tian, Wenhong,Li, Guozhong,Chen, Yu,et al. Combined load balancing and energy efficiency in Hadoop[J]. Qinghua Daxue Xuebao/Journal of Tsinghua University,2016,56(11):1226-1231.
APA	Tian, Wenhong,Li, Guozhong,Chen, Yu,Huang, Chaojie,&Yang, Wutong.(2016).Combined load balancing and energy efficiency in Hadoop.Qinghua Daxue Xuebao/Journal of Tsinghua University,56(11),1226-1231.
MLA	Tian, Wenhong,et al."Combined load balancing and energy efficiency in Hadoop".Qinghua Daxue Xuebao/Journal of Tsinghua University 56.11(2016):1226-1231.