A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers

doi:10.1016/j.suscom.2021.100596

	A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers
	Ji, Kaixuan 1,2; Zhang, Fa 1; Chi, Ce 1,2; Song, Penglei 3; Zhou, Biyu 4; Marahatta, Avinab 1,2; Liu, Zhiyong 1
刊名	SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
	2021-12-01
卷号	32 页码:14
关键词	Data center Energy efficiency Task scheduling Cooling system Marginal cost Workload prediction
ISSN号	2210-5379
DOI	10.1016/j.suscom.2021.100596
英文摘要	With the widespread development of cloud computing, the dramatic increase in the number and size of data centers (DCs) has resulted in substantial energy consumption and serious environmental problems. This creates a challenge for the further development of DCs. It is imperative to improve the overall energy efficiency of DCs. According to the statistics, servers and cooling systems are the main energy-consuming components of DCs. Recently, several energy-efficient strategies have been developed to address these problems. However, most of these works only consider the energy optimization of servers or cooling systems separately. Therefore, a Joint Energy Efficiency Optimization Scheme (JEES) is proposed in this paper, where the energy consumed by servers and the cooling system is jointly considered, and coordinately optimized. JEES includes a dynamic online task scheduling algorithm based on marginal cost evaluation, a resource management strategy that integrates the workload prediction technique to manage resources, and a task migration method using marginal cost evaluation. By using the proposed techniques, the total energy consumption of DCs can be reduced. Extensive experiments have been conducted based on real-world workload traces, and the results demonstrate that compared with other techniques, the proposed scheme effectively improves the overall resource utilization and reduces the total energy consumption of DCs.
资助项目	National Key Research and Development Program of China[2017YFB1010001] ; National Natural Science Foundation of China[61520106005] ; National Natural Science Foundation of China[61761136014] ; Beijing Municipal Natural Science Foundation[L182053]
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000701722300002
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/17043]
专题	中国科学院计算技术研究所
通讯作者	Liu, Zhiyong
作者单位	1.Chinese Acad Sci, High Performance Comp Res Ctr, Inst Comp Technol, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Capital Normal Univ, Beijing, Peoples R China 4.Chinese Acad Sci, Inst Informat Engn, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Ji, Kaixuan,Zhang, Fa,Chi, Ce,et al. A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers[J]. SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS,2021,32:14.
APA	Ji, Kaixuan.,Zhang, Fa.,Chi, Ce.,Song, Penglei.,Zhou, Biyu.,...&Liu, Zhiyong.(2021).A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers.SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS,32,14.
MLA	Ji, Kaixuan,et al."A joint energy efficiency optimization scheme based on marginal cost and workload prediction in data centers".SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS 32(2021):14.