[1]ZHANG Xiaojing,LINDBERG T,XIONG N,et al.Cooling energy consumption investigation of data center it room with vertical placed server[J].Energy Procedia,2017,105:2047-2052.
[2]KUSIC D,KEPHART J O,HANSON J E,et al.Power and performance management of virtualized computing environments via lookahead control[J].Cluster Computing,2009,12(1):1-15.
[3]ZHENG Qinghua,LI Rui,LI Xiuqi,et al.A multi-objective biogeography-based optimization for virtual machine placement[C]//Proceedings of the 15th IEEE/ACM International Symposium on Cluster,Cloud and Grid Computing.Washington D.C.,USA:IEEE Press,2015:687-696.
[4]JIANG Dailin,HUANG Peijie,LIN Piyuan,et al.Energy efficient VM placement heuristic algorithms comparison for cloud with multidimensional resources[C]//Proceedings of International Conference on Information Computing and Applications.Berlin,Germany:Springer,2012:413-420.
[5]LI Rui,ZHENG Qinghua,LI Xiuqi,et al.A novel multi-objective optimization scheme for rebalancing virtual machine placement[C]//Proceedings of the 9th IEEE International Conference on Cloud Computing.Washington D.C.,USA:IEEE Press,2016:710-717.
[6]AHVAR E,AHVAR S,MANN Z A,et al.CACEV:a cost and carbon emission-efficient virtual machine placement method for green distributed clouds[C]//Proceedings of IEEE International Conference on Services Computing.Washington D.C.,USA:IEEE Press,2016:275-282.
[7]FELLER E,RILLING L,MORIN C.Energy-aware ant colony based workload placement in clouds[C]//Proceedings of the 12th International Conference on Grid Computing.Washington D.C.,USA:IEEE Computer Society,2011:26-33.
[8]TSAIM H,CHOU J,CHEN J.Prevent VM migration in virtualized clusters via deadline driven placement policy[C]//Proceedings of IEEE International Conference on Cloud Computing Technology and Science.Washington D.C.,USA:IEEE Computer Society,2013:599-606.
[9]徐思尧,林伟伟,王子骏.基于负载高峰特征的虚拟机放置算法[J].软件学报,2016,27(7):1876-1887.
[10]BOBROFF N,KOCHUT A,BEATY K.Dynamic placement of virtual machines for managing SLA violations[C]//Proceedings of the 10th IFIP/IEEE International Symposium on Integrated Network Management.Washington D.C.,USA:IEEE Press,2007:119-128.
[11]BUYYA R,GARG S K,CALHEIROS R N.SLA-oriented resource provisioning for cloud computing:challenges,architecture,and solutions[C]//Proceedings of International Conference on Cloud and Service Computing.Washington D.C.,USA:IEEE Computer Society,2011:1-10.
[12]VERMA M,GANGADHARAN G R,NARENDRA N C,et al.Dynamic resource demand prediction and allocation in multi-tenant service clouds[J].Concurrency and Computation:Practice and Experience,2016,28(17):4429-4442.
[13]HUANG Wei,LI Xin,QIAN Zhuzhong.An energy efficient virtual machine placement algorithm with balanced resource utilization[C]//Proceedings of the 7th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.Washington D.C.,USA:IEEE Press,2013:313-319.
[14]FARAHNAKIAN F,LILJEBERG P,PLOSILA J.Energy-efficient virtual machines consolidation in cloud data centers using reinforcement learning[C]//Proceedings of the 22nd Euromicro International Conference on Parallel,Distributed,and Network-Based Processing.Washington D.C.,USA:IEEE Computer Society,2014:500-507.
[15]GHOBAEI-ARANI M,RAHMANIAN A A,SHAMSI M,et al.A learning-based approach for virtual machine placement in cloud data centers[EB/OL].[2018-07-02].https://onlinelibrary.wiley.com/doi/full/10.1002/dac.3537.
[16]RANJBARI M,AKBARI TORKESTANI J.A learning automata-based algorithm for energy and SLA efficient consolidation of virtual machines in cloud data centers[J].Journal of Parallel and Distributed Computing,2017,113:55-62.
[17]BELOGLAZOV A,BUYYA R.Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in cloud data centers[J].Concurrency and Computation:Practice and Experience,2012,24(13):1397-1420.
[18]ZHU Qian,ZHU Jiedan,AGRAWAL G.Power-aware consolidation of scientific workflows in virtualized environments[C]//Proceedings of ACM/IEEE International Conference for High Performance Computing,Networking,Storage and Analysis.Washington D.C.,USA:IEEE Computer Society,2010:1-12.
[19]MENG Xiaoqiao,ISCI C,KEPHART J,et al.Efficient resource provisioning in compute clouds via VM multiplexing[C]//Proceeding of the 7th International Conference on Autonomic Computing.New York,USA:ACM Press,2010:11-20.
[20]NG A Y.Shaping and policy search in reinforcement learning[D].Berkeley,USA:University of California,2003.
[21]MNIH V,KAVUKCUOGLU K,SILVER D,et al.Playing atari with deep reinforcement learning[EB/OL].[2018-07-02].https://arxiv.org/pdf/1312.5602v1.pdf.
[22]SCHAUL T,QUAN J,ANTONOGLOU I,et al.Prioritized experience replay [EB/OL].[2018-07-02].https://arxiv.org/pdf/1511.05952.pdf.
[23]DUCHI J,HAZAN E,SINGER Y.Adaptive subgradient methods for online learning and stochastic optimization[J].The Journal of Machine Learning Research,2011,12:2121-2159. |