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CPicker: Leveraging Performance-Equivalent Configurations to Improve Data Center Energy Efficiency

文献类型：期刊论文

作者Sun, Fa-Qiang1,2,3; Yan, Gui-Hai1,2; He, Xin1,2; Li, Hua-Wei1,2; Han, Yin-He1,2
刊名JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
出版日期2018
卷号33期号:1页码:131-144
关键词performance equivalence energy efficiency data center power management dynamic voltage and frequency scaling (DVFS)
ISSN号1000-9000
DOI10.1007/s11390-018-1811-x
英文摘要The poor energy proportionality of server is seen as the principal source for low energy efficiency of modern data centers. We find that different resource configurations of an application lead to similar performance, but have distinct energy consumption. We call this phenomenon as "performance-equivalent resource configurations (PERC)", and its performance range is called equivalent region (ER). Based on PERC, one basic idea for improving energy efficiency is to select the most efficient configuration from PERC for each application. However, it cannot support every application to obtain optimal solution when thousands of applications are run simultaneously on resource-bounded servers. Here we propose a heuristic scheme, CPicker, based on genetic programming to improve energy efficiency of servers. To speed up convergence, CPicker initializes a high quality population by first choosing configurations from regions that have high energy variation. Experiments show that CPicker obtains above 17% energy efficiency improvement compared with the greedy approach, and less than 4% efficiency loss compared with the oracle case.
资助项目National Natural Science Foundation of China[61572470] ; National Natural Science Foundation of China[61532017] ; National Natural Science Foundation of China[61522406] ; National Natural Science Foundation of China[61432017] ; National Natural Science Foundation of China[61376043] ; National Natural Science Foundation of China[61504153] ; National Natural Science Foundation of China[61521092] ; Youth Innovation Promotion Association, Chinese Academy of Sciences (CAS)[Y404441000]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000423587100008
出版者SCIENCE PRESS
源URL[http://119.78.100.204/handle/2XEOYT63/5614]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Yan, Gui-Hai
作者单位1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
2.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China
3.Natl Comp Network Emergency Response Tech Team Ch, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Sun, Fa-Qiang,Yan, Gui-Hai,He, Xin,et al. CPicker: Leveraging Performance-Equivalent Configurations to Improve Data Center Energy Efficiency[J]. JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,2018,33(1):131-144.
APA Sun, Fa-Qiang,Yan, Gui-Hai,He, Xin,Li, Hua-Wei,&Han, Yin-He.(2018).CPicker: Leveraging Performance-Equivalent Configurations to Improve Data Center Energy Efficiency.JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY,33(1),131-144.
MLA Sun, Fa-Qiang,et al."CPicker: Leveraging Performance-Equivalent Configurations to Improve Data Center Energy Efficiency".JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY 33.1(2018):131-144.

入库方式： OAI收割

来源：计算技术研究所

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