Analyzing energy-efficiency of two scheduling policies in compute-intensive applications on cloud

doi:10.11091/ACCESS.2018.2861462

	Analyzing energy-efficiency of two scheduling policies in compute-intensive applications on cloud
	Kuang, Ping 1; Guo, Wenxia 1; Xu, Xiang 1; Li, Hongjian 1,3; Tian, Wenhong1,2 ; Buyya, Rajkumar 4
刊名	IEEE Access
	2018
卷号	6 页码:45515-45526
ISSN号	2169-3536
DOI	10.11091/ACCESS.2018.2861462
英文摘要	One of the key problems facing cloud applications is to reduce their energy consumption, which can increase the working lifetime of a machine, decrease the operation costs of cloud providers, and the environmental impact caused by power consumption. It is very important to design and evaluate an energy-efficient cloud. Recently, two open problems are raised in the literature: 1) what is the optimal solution (the lower bound) for the total energy consumption? and 2) what is the energy-efficiency for a scheduling algorithm? In this paper, we consider two major scheduling policies: 1) always power-on physical machines (PMs) once turning-on and 2) turning-off (hibernating) idle PMs, both with possible virtual machine migrations during evaluation. Focusing on compute-intensive applications on cloud, we propose analytical methods to settle down the two open problems. Our theoretical results are validated by experimental results in different scheduling scenarios and can be applied in cloud computing environments to help energy-efficient design. © 2018 IEEE.
电子版国际标准刊号	21693536
语种	英语
内容类型	期刊论文
源URL	[http://119.78.100.138/handle/2HOD01W0/8045]
专题	中国科学院重庆绿色智能技术研究院
作者单位	1.School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu; 610054, China; 2.Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing; 400714, China; 3.Department of Computer Science and Technology, Chongqing University of Post and Telecommunication, Chongqing; 400065, China; 4.Department of Computer Science, University of Melbourne, Melbourne; VIC; 3010, Australia
推荐引用方式 GB/T 7714	Kuang, Ping,Guo, Wenxia,Xu, Xiang,et al. Analyzing energy-efficiency of two scheduling policies in compute-intensive applications on cloud[J]. IEEE Access,2018,6:45515-45526.
APA	Kuang, Ping,Guo, Wenxia,Xu, Xiang,Li, Hongjian,Tian, Wenhong,&Buyya, Rajkumar.(2018).Analyzing energy-efficiency of two scheduling policies in compute-intensive applications on cloud.IEEE Access,6,45515-45526.
MLA	Kuang, Ping,et al."Analyzing energy-efficiency of two scheduling policies in compute-intensive applications on cloud".IEEE Access 6(2018):45515-45526.