期刊文献+

面向云计算中心效能优化的负载平衡方法 被引量:7

Load Balance Approach to Save Power on Cloud Datacenter
下载PDF
导出
摘要 为了提升使用虚拟化技术的数据中心的能耗利用率,根据处理器DVFS(dynamic voltage and frequency scaling)变频技术的功耗特性,论证了在理想情况下,数据中心中所有处理器频率一致时能耗利用率最高;基于这一理论,提出了云计算中心的负载平衡方法;最后在CloudSim中进行了仿真实验,实验结果显示该方法能够优化数据中心的能耗。 In order to improve the power usage utilization of datacenter of using virtualization technology, according to the consumption character of DVFS (dynamic voltage and frequency scaling), this paper firstly proves that datacenter will consume lowest power at the case all CPU frequencies are the same. Based on the conclusion, it proposes the load balance scheme in datacenters. Finally, it simulates this model in CloudSim. Experimental results show that the model can optimize the power consumption of datacenter.
出处 《计算机科学与探索》 CSCD 2012年第4期327-332,共6页 Journal of Frontiers of Computer Science and Technology
基金 国家自然科学基金Nos.90715030 60970008 国家重点基础研究发展规划(973)No.2007CB310900~~
关键词 节能技术 CloudSim 负载平衡 动态迁移 电源管理 云计算 power save CloudSim load balance dynamic migration energy management cloud computing
  • 相关文献

参考文献10

  • 1Kumar R.Data center power and cooling scenario through2015. http://www.gartner.com/ . 2011
  • 2Elnozahy M,Kistler M,Rajamony R.Energy conservation policies for Web servers[].Proceedings of theth Conference on USENIX Symposium on Internet Technologies and Systems(USITS).2003
  • 3Carrera E V,Pinheiro E,Bianchini R.Conserving disk energy in network servers[].Proceedings of theth Annual International Conference on Supercomputing(ICS).2003
  • 4Gurumurthi S,Sivasubramaniam A,Kandemir M,et al.DRPM:dynamic speed control for power mangagement in server class disks[].Proceedings of theth Annual International Symposium on Computer Architecture(ISCA).2003
  • 5Srikantaiah S,Kansal A,Zhao Feng.Energy aware consolidation for cloud computing[].Proceedings of theConference on Power Aware Computing and Systems(HotPower).2008
  • 6Chen Yiyu,Das A,Qin Wubi,et al.Managing server energy and operational costs in hosting centers[].Proceedings of theACM SIGMETRICS International Conference on Measurement And Modeling of Computer Systems(SIGMETRICS).2005
  • 7Weng Chuliang,Li Minglu,Wang Zhigang,et al.Automatic performance tuning for the virtualized cluster system[].Proceedings of theth IEEE International Conference on Distributed Computing Systems(ICDCS).2009
  • 8Flautner K,,Reinhardt S,Mudge T.Automatic PerformanceSetting for Dynamic Voltage Scaling[].Proc of the Int’lConf on Mobile Computing and Networking.2001
  • 9RN Calheiros,R Ranjan,A Beloglazov,CAF Rose,R Buyya.CloudSim: A toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms[].Software Practice and Experience.2011
  • 10Bianchini R,Rajamony R.Power and Energy Management for Server Systems[].IEEE Computer.2004

同被引文献53

  • 1熊聪聪,冯龙,陈丽仙,苏静.云计算中基于遗传算法的任务调度算法研究[J].华中科技大学学报(自然科学版),2012,40(S1):1-4. 被引量:27
  • 2郭平,李琪.基于服务器负载状况分类的负载均衡调度算法[J].华中科技大学学报(自然科学版),2012,40(S1):62-65. 被引量:10
  • 3郜正亚,周伟波.云计算图书中心的负载和网络优化[J].杭州电子科技大学学报(社会科学版),2012,8(1):74-78. 被引量:2
  • 4Bianchini R, Rajamony R. Power and energy managemen t for server systems[J]. IEEE Computer, 2004, 37(11): 68-74.
  • 5Kantarci and H. T. Mouftah, "Optimal Reconfiguration of th e Cloud Network for Maximum Energy Savings," in Cluster, Cloud and Grid Computing (CCGrid), 2012 12th IEEE/ACM International Symposium on, 2012:835-840.
  • 6Barroso LA, Holzle U. The Case for Energy-Proportional Computing [J]. Computer (S0018-9162), 2007, 40(12): 33-37.
  • 7CLOUDS Laboratory. CloudSim: A Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services [EB/OL]. (2014-08-01 ) [2014-11-03 ]. http://cloudbus.org/cloudsim/.
  • 8Li K. Optimal Configuration of a Multicore Server Processor for Managing the Power and Performance Tradeoff [J]. The Journal of Superomputing (S0920-8542), 2012, 61(1): 189-214.
  • 9Leite JCB, Kusic D, Mosse D, et al. Stochastic Approximation Control of Power and Tardiness in a Three-Tier Web-Hosting Cluster [C]// Proceeding of the 7th Intemational Conference on Autonomic Computing. New York, USA: ACM, 2010: 41-50.
  • 10Zheng X, Cai Y. CMDP Based Adaptive Power Management in Server Clusters [J]. Sustainable Computing: Informatics and Systems (S2210-5379), 2013, 3(2): 70-79.

引证文献7

二级引证文献21

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部