Dynamic power saving via least-square self-tuning regulator in the virtualized computing systems

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	Dynamic power saving via least-square self-tuning regulator in the virtualized computing systems
其他题名	Dynamic Power Saving via Least-Square Self-Tuning Regulator in the Virtualized Computing Systems
	Wen Chengjian 1; Long Xiang 1; Mu Yifen 2
	2015
发表期刊	JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
ISSN	1009-6124
卷号	28 期号:1 页码:60-79
摘要	In recent years, power saving problem has become more and more important in many fields and attracted a lot of research interests. In this paper, the authors consider the power saving problem in the virtualized computing system. Since there are multiple objectives in the system as well as many factors influencing the objectives, the problem is complex and hard. The authors will formulate the problem as an optimization problem of power consumption with a prior requirement on performance, which is taken as the response time in the paper. To solve the problem, the authors design the adaptive controller based on least-square self-tuning regulator to dynamically regulate the computing resource so as to track a given reasonable reference performance and then minimize the power consumption using the tracking result supplied by the controller at each time. Simulation is implemented based on the data collected from real machines and the time delay of turning on/off the machine is included in the process. The results show that this method based on adaptive control theory can save power consumption greatly with satisfying the performance requirement at the same time, thus it is suitable and effective to solve the problem.
其他摘要	In recent years, power saving problem has become more and more important in many fields and attracted a lot of research interests. In this paper, the authors consider the power saving problem in the virtualized computing system. Since there are multiple objectives in the system as well as many factors influencing the objectives, the problem is complex and hard. The authors will formulate the problem as an optimization problem of power consumption with a prior requirement on performance, which is taken as the response time in the paper. To solve the problem, the authors design the adaptive controller based on least-square self-tuning regulator to dynamically regulate the computing resource so as to track a given reasonable reference performance and then minimize the power consumption using the tracking result supplied by the controller at each time. Simulation is implemented based on the data collected from real machines and the time delay of turning on/off the machine is included in the process. The results show that this method based on adaptive control theory can save power consumption greatly with satisfying the performance requirement at the same time, thus it is suitable and effective to solve the problem.
关键词	ADAPTIVE-CONTROL CONVERGENCE Adaptive control green computing least square self-tuning regulator (LS-STR) performance constraint power saving
收录类别	CSCD
语种	英语
资助项目	[National Natural Science Foundation of China]
CSCD记录号	CSCD:5385392
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/54850
专题	中国科学院数学与系统科学研究院
作者单位	1.北京航空航天大学 2.中国科学院数学与系统科学研究院
推荐引用方式 GB/T 7714	Wen Chengjian,Long Xiang,Mu Yifen. Dynamic power saving via least-square self-tuning regulator in the virtualized computing systems[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2015,28(1):60-79.
APA	Wen Chengjian,Long Xiang,&Mu Yifen.(2015).Dynamic power saving via least-square self-tuning regulator in the virtualized computing systems.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,28(1),60-79.
MLA	Wen Chengjian,et al."Dynamic power saving via least-square self-tuning regulator in the virtualized computing systems".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY 28.1(2015):60-79.