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Power-efficient assignment of virtual machines to physical machines

文献类型：期刊论文

作者Arjona Aroca, Jordi2; Fernandez Anta, Antonio1; Mosteiro, Miguel A.3; Thraves, Christopher4,5; Wang, Lin6,7
刊名FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
出版日期2016
卷号54页码:82-94
关键词Cloud computing Generalized assignment Scheduling Load balancing
ISSN号0167-739X
DOI10.1016/j.future.2015.01.006
英文摘要Motivated by current trends in cloud computing, we study a version of the generalized assignment problem where a set of virtual processors has to be implemented by a set of identical processors. For literature consistency, we say that a set of virtual machines (VMs) is assigned to a set of physical machines (PMs). The optimization criterion is to minimize the power consumed by all the PMs. We term the problem Virtual Machine Assignment (VMA). Crucial differences with previous work include a variable number of PMs, that each VM must be assigned to exactly one PM (i.e., VMs cannot be implemented fractionally), and a minimum power consumption for each active PM. Such infrastructure may be strictly constrained in the number of PMs or in the PMs' capacity, depending on how costly (in terms of power consumption) it is to add a new PM to the system or to heavily load some of the existing PMs. Low usage or ample budget yields models where PM capacity and/or the number of PMs may be assumed unbounded for all practical purposes. We study four VMA problems depending on whether the capacity or the number of PMs is bounded or not. Specifically, we study hardness and online competitiveness for a variety of cases. To the best of our knowledge, this is the first comprehensive study of the VMA problem for this cost function. (c) 2015 Elsevier B.V. All rights reserved.
资助项目Comunidad de Madrid[S2009TIC-1692] ; Comunidad de Madrid[S2013/ICE-2894] ; MINECO[TEC2011-29688-C02-01] ; National Natural Science Foundation of China[61020106002] ; National Science Foundation[CCF-1114930] ; Kean University UFRI grant[UFRI1415]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000368383200007
出版者ELSEVIER SCIENCE BV
源URL[http://119.78.100.204/handle/2XEOYT63/8918]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Arjona Aroca, Jordi
作者单位1.Inst IMDEA Networks, Madrid, Spain
2.Univ Carlos III Madrid, Madrid, Spain
3.Kean Univ, Dept Comp Sci, Union, NJ USA
4.CNRS LAAS, Toulouse, France
5.Univ Toulouse LAAS, Toulouse, France
6.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China
7.Univ Chinese Acad Sci, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Arjona Aroca, Jordi,Fernandez Anta, Antonio,Mosteiro, Miguel A.,et al. Power-efficient assignment of virtual machines to physical machines[J]. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,2016,54:82-94.
APA Arjona Aroca, Jordi,Fernandez Anta, Antonio,Mosteiro, Miguel A.,Thraves, Christopher,&Wang, Lin.(2016).Power-efficient assignment of virtual machines to physical machines.FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE,54,82-94.
MLA Arjona Aroca, Jordi,et al."Power-efficient assignment of virtual machines to physical machines".FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 54(2016):82-94.

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来源：计算技术研究所

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