全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
电子学报  2015 

云计算中基于能耗比例模型的虚拟机调度算法

DOI: 10.3969/j.issn.0372-2112.2015.02.016, PP. 305-311

Keywords: 云计算,虚拟机,能耗,调度算法

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对资源虚拟化环境中的混合型负载调度问题,提出一种基于能耗比例模型的虚拟机调度算法.该算法利用处理器的"性能计数器"机制来评估各个虚拟机的近期能耗状态,并采用"最近最小能耗比例优先"的策略进行调度.理论分析给出了该算法的有效性证明和相关特性.实验结果显示,当系统面对混合型负载时,基于能耗比例模型的调度算法在"调度偏差"和"相对能效"两方面明显优于现有的虚拟机调度算法.

References

[1]  Goiri í,Berral J L,Fitó J O.Energy-efficient and multifaceted resource management for profit-driven virtualized data centers[J].Future Generation Computer Systems,2012,28(5):718-731.
[2]  Wang J,Feng L.A survey on energy-efficient data management[J].ACM SIGMOD Record,2011,40(2):17-23.
[3]  G.Goth.Data center operators face energy irony[J].IEEE Internet Computing,2010,14(2):7-10.
[4]  Kant K.Data center evolution:a tutorial on state of the art,issues,and challenges[J].Computer Networks,2009,53(17):2939-2965.
[5]  Mateescu G,Gentzsch W,Ribbens C J.Hybrid computing-where HPC meets grid and cloud computing[J].Future Generation Computer Systems,2011,27(5):440-453.
[6]  俞能海,郝卓,徐甲甲,张卫明,张驰.云安全研究进展综述[J].电子学报,2013,41(2):371-381. Yu Nenghai,Hao Zhuo,Xu Jiajia,Zhang Weiming,Zhang Chi.Review of cloud computing security[J].Acta Electronica Sinica,2013,41(2):371-381.(in Chinese)
[7]  Chapman C,Emmerich W,Marquez,F G,Clayman S,Galis A.Software architecture definition for on-demand cloud provisioning[J].Cluster Computing,2012,15(2):79-100.
[8]  Liu H,Jin H,Xu C Z,Liao X F.Performance and energy modeling for live migration of virtual machines[J].Cluster Computing,2013,16(2):249-264.
[9]  Lovasz G,Niedermeier F,De-Meer H.Performance tradeoffs of energy-aware virtual machine consolidation[J].Cluster Computing,2013,16(3):481-496.
[10]  Kansal A,Zhao F,Liu J,Kothari N,Bhattacharya A A.Virtual machine power metering and provisioning[A].Proceedings of ACM Symposium on Cloud Computing[C].New York,USA:ACM Press,2010.39-50.
[11]  Chen H,Li Y,Shi W.Fine-grained power management using process-level[J].Sustainable Computing:Informatics and Systems,2012,2(1):33-42.
[12]  Abd-El-Malek M,Wachs M,Cipar J,Sanghi K,Ganger G R,Gibson G A,Reiter M K.File system virtual appliances:portable file system omplementations[J].ACM Transactions on Storage,2012,8(3):1-36.
[13]  Ibrahim K Z,Hofmeyr S,Iancu C.Characterizing the performance of parallel applications on multi-socket virtual machines[A].Proceedings of IEEE/ACM International Conference on Cluster,Cloud and Grid Computing[C].Washington,USA:IEEE Press,2011.1-12.
[14]  Kang H,Chen Y,Wong J L,Sion R,Wu J.Enhancement of xen''s scheduler for mapReduce workloads[A].Proceedings of International Symposium on High Performance Distributed Computing[C].New York,USA:ACM Press,2011.251-262.
[15]  Gao F,Abd-Almageed F,Hefeeda M.Distributed approximate spectral clustering for large-scale datasets[A].Proceedings of International Symposium on High Performance Distributed Computing[C].New York,USA:ACM Press,2012.223-234.
[16]  Zhang X,Xu Y,Jiang S.You Choose:choosing your storage device as a performance interface to consolidated I/O service[J].ACM Transactions on Storage,2011,7(3):1-41.
[17]  宫学庆,金澈清,等.数据密集型科学与工程:需求和挑战[J].计算机学报,2012,35(8):1563-1578. Gong Xueqing,Jin Cheqing,Wang Xiaoling,Zhang Rong,Zhou Aoying.Data-intensive science and engineering:requirements and challenges[J].Chinese Journal of Computers,2012,35(8):1563-1578.(in Chinese)
[18]  Cherkasova L,Gupta D,Vahdat A.Comparison of the three cpu schedulers in xen[J].ACM SIGMETRICS Performance Evaluation Review,2007,35(2):42-51.
[19]  Kim H,Lim H,Jeong J,Jo H,Lee J.Task-aware virtual machine scheduling for I/O performance[A].Proceeding ACM SIGPLAN/SIGOPS International Conference on Virtual execution Environments[C].New York,USA:ACM Press,2009.101-110.
[20]  Dhiman G,Marchetti G,Rosing T.vGreen:a system for energy-efficient management of virtual machines[J].ACM Transactions on Design Automation of Electronic Systems,2010,16(1):1-27.
[21]  Lefevre L,Orgerie A C.Designing and evaluating an energy efficient cloud[J].Journal of Supercomputing,2010,51(3):352-373.
[22]  Lindberg P,Leingang J.Comparison and analysis of scheduling heuristics for optimization of energy consumption and makespan in large-scale distributed systems[J].Journal of Supercomputing,2012,59(1):323-360.
[23]  Manzanares A,Qin X,Ruan X,Yin S.PRE-BUD:prefetching for energy-efficient parallel I/O systems with buffer disks[J].ACM Transactions on Storage,2011,7(1):1-45.
[24]  Martinez M R,Valdivia H,Seguel J,Greer M V.Estimating power/energy consumption in database servers[J].Procedia Computer Science,2011,6(2):112-117.
[25]  李建敦,彭俊杰,张武.云存储中一种基于布局的虚拟磁盘节能调度方法[J].电子学报,2012,40(11):2247-2254. Li Jiandun,Peng Junjie,Zhang Wu.A layout-based energy-aware approach for virtual disk scheduling in cloud storage[J].Acta Electronica Sinica,2012,40(11):2247-2254.(in Chinese)
[26]  Bircher W L,John L K.Complete system power estimation using processor performance events[J].IEEE Transactions on Computers,2012,61(4):563-577.
[27]  Bertran R,Becerra Y,Carrera D.Energy accounting for shared virtualized environments under DVFS using PMC-based power models[J].Future Generation Computer Systems,2012,28(2):457-468.
[28]  Xu C,Gamage S,Rao P N,Kangarlou A,Kompella R R,Xu D.vSlicer:latency-aware virtual machine scheduling via differentiated-frequency CPU slicing[A].Proceedings of International Symposium on High-Performance Parallel and Distributed Computing[C].New York,USA:ACM Press,2012.3-14.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133