中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Combined load balancing and energy efficiency in Hadoop

文献类型:期刊论文

作者Tian, Wenhong1,2; Li, Guozhong1; Chen, Yu1; Huang, Chaojie1; Yang, Wutong1
刊名Qinghua Daxue Xuebao/Journal of Tsinghua University
出版日期2016
卷号56期号:11页码:1226-1231
ISSN号10000054
DOI10.16511/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
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.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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