Improving energy efficiency in colocation data centers for demand response

doi:10.1016/j.suscom.2020.100476

	Improving energy efficiency in colocation data centers for demand response
	Chi, Ce 1,2; Zhang, Fa 1; Ji, Kaixuan 1,2; Marahatta, Avinab 1,2; Liu, Zhiyong 1
刊名	SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
	2021-03-01
卷号	29 页码:14
关键词	Colocation data center Mechanism design Energy efficiency Approximation algorithm Truthfulness
ISSN号	2210-5379
DOI	10.1016/j.suscom.2020.100476
英文摘要	Colocation data centers (colocations, for short) are developing rapidly and have become ideal participants for emergency demand response (EDR) programs. However, even colocation operators wish to save energy, they cannot achieve energy reduction without coordination from the tenants, because the servers in the colocations are owned and operated by the tenants. To solve the ?uncoordinated relationship? issue between operators and tenants, some works have been done by way of incentivizing the tenants to reduce the energy consumption of their servers. However, apart from servers, the power consumption of the cooling system also accounts for a large portion in a colocation, which should be optimized as well. Unfortunately, the servers and the cooling system are controlled by tenants and operators separately in colocations, and thus ?uncoordinated relationship? issue also exists between IT and cooling systems. In this paper, coarse-grained and fine-grained incentive mechanisms are proposed to solve these problems. Approximation algorithms are developed to optimize the energy-saving problems. Furthermore, Vickrey?Clarke?Groves (VCG) theory is introduced into our incentive mechanism design to guarantee the feasibility and truthfulness of the two mechanisms. Trace-driven simulations are performed to validate the effectiveness of the two incentive mechanisms. The results show that compared with the existing incentive mechanisms, up to 20.50% of the energy-saving cost can be reduced in the coarse-grained mechanism and 28.34% of the cost reduction can be achieved in the fine-grained mechanism.
资助项目	National Natural Science Foundation of China[61520106005,61761136014] ; National Key Research and Development Program of China[2017YFB1010001] ; 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:000635380000009
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/16704]
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, Inst Comp Technol, High Performance Comp Res Ctr, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Chi, Ce,Zhang, Fa,Ji, Kaixuan,et al. Improving energy efficiency in colocation data centers for demand response[J]. SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS,2021,29:14.
APA	Chi, Ce,Zhang, Fa,Ji, Kaixuan,Marahatta, Avinab,&Liu, Zhiyong.(2021).Improving energy efficiency in colocation data centers for demand response.SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS,29,14.
MLA	Chi, Ce,et al."Improving energy efficiency in colocation data centers for demand response".SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS 29(2021):14.