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

doi:10.1007/s11390-018-1811-x

	CPicker: Leveraging Performance-Equivalent Configurations to Improve Data Center Energy Efficiency
	Sun, Fa-Qiang 1,2,3; Yan, Gui-Hai 1,3; He, Xin 1,3; Li, Hua-Wei 1,3; Han, Yin-He 1,3
	2018
发表期刊	JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY
ISSN	1000-9000
卷号	33 期号:1 页码:131-144
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.
关键词	performance equivalence energy efficiency data center power management dynamic voltage and frequency scaling (DVFS)
DOI	10.1007/s11390-018-1811-x
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Software Engineering
WOS记录号	WOS:000423587100008
出版者	SCIENCE PRESS
引用统计	被引频次：2[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/5615
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.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 2.Natl Comp Network Emergency Response Tech Team Ch, Beijing 100029, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, 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.