KMS Chongqing Institute of Green and Intelligent Technology, CAS
| Combined load balancing and energy efficiency in Hadoop | |
Tian, Wenhong1,2 ; Li, Guozhong1; Chen, Yu1; Huang, Chaojie1; Yang, Wutong1
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| 2016 | |
| 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. |
| DOI | 10.16511/j.cnki.qhdxxb.2016.26.016 |
| 发表期刊 | Qinghua Daxue Xuebao/Journal of Tsinghua University
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| ISSN | 10000054 |
| 卷号 | 56期号:11页码:1226-1231 |
| 收录类别 | EI |
| 语种 | 中文 |
