中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Dynamic power saving via least-square self-tuning regulator in the virtualized computing systems

文献类型:期刊论文

作者Wen Chengjian1; Long Xiang1; Mu Yifen2
刊名JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY
出版日期2015
卷号28期号:1页码:60-79
关键词ADAPTIVE-CONTROL CONVERGENCE Adaptive control green computing least square self-tuning regulator (LS-STR) performance constraint power saving
ISSN号1009-6124
其他题名Dynamic Power Saving via Least-Square Self-Tuning Regulator in the Virtualized Computing Systems
英文摘要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.
资助项目[National Natural Science Foundation of China]
语种英语
CSCD记录号CSCD:5385392
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/54849]  
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.

入库方式: OAI收割

来源:数学与系统科学研究院

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