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Power and Performance Management in Nonlinear Virtualized Computing Systems via Predictive Control
Wen, Chengjian1; Mu, Yifen2
2015-07-30
Source PublicationPLOS ONE
ISSN1932-6203
Volume10Issue:7Pages:17
AbstractThe problem of power and performance management captures growing research interest in both academic and industrial field. Virtulization, as an advanced technology to conserve energy, has become basic architecture for most data centers. Accordingly, more sophisticated and finer control are desired in virtualized computing systems, where multiple types of control actions exist as well as time delay effect, which make it complicated to formulate and solve the problem. Furthermore, because of improvement on chips and reduction of idle power, power consumption in modern machines shows significant nonlinearity, making linear power models(which is commonly adopted in previous work) no longer suitable. To deal with this, we build a discrete system state model, in which all control actions and time delay effect are included by state transition and performance and power can be defined on each state. Then, we design the predictive controller, via which the quadratic cost function integrating performance and power can be dynamically optimized. Experiment results show the effectiveness of the controller. By choosing a moderate weight, a good balance can be achieved between performance and power: 99.76% requirements can be dealt with and power consumption can be saved by 33% comparing to the case with open loop controller.
DOI10.1371/journal.pone.0134017
Language英语
Funding ProjectNational Natural Science Foundation of China[61304159] ; National Natural Science Foundation of China[61374168]
WOS Research AreaScience & Technology - Other Topics
WOS SubjectMultidisciplinary Sciences
WOS IDWOS:000358837700050
PublisherPUBLIC LIBRARY SCIENCE
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/20489
Collection系统科学研究所
Affiliation1.Beihang Univ, Dept Comp Sci & Engn, Beijing 100191, Peoples R China
2.Chinese Acad Sci, Inst Syst Sci, Key Lab Syst & Control, Acad Math & Syst Sci, Beijing, Peoples R China
Recommended Citation
GB/T 7714
Wen, Chengjian,Mu, Yifen. Power and Performance Management in Nonlinear Virtualized Computing Systems via Predictive Control[J]. PLOS ONE,2015,10(7):17.
APA Wen, Chengjian,&Mu, Yifen.(2015).Power and Performance Management in Nonlinear Virtualized Computing Systems via Predictive Control.PLOS ONE,10(7),17.
MLA Wen, Chengjian,et al."Power and Performance Management in Nonlinear Virtualized Computing Systems via Predictive Control".PLOS ONE 10.7(2015):17.
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