电信科学

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云数据中心高能效的虚拟机迁移整合算法研究

李鸿健,代 宇,刘 锐,蒋 溢   

  1. 重庆邮电大学计算机科学与技术学院;重庆邮电大学计算机科学与技术学院;重庆邮电大学计算机科学与技术学院;重庆邮电大学计算机科学与技术学院
  • 出版日期:2015-01-15 发布日期:2015-01-15
  • 基金资助:
    国家发展和改革委员会2012年物联网技术研发及产业化专项基金资助项目(No.ls201301),国家工业和信息化部2012年物联网发展专项基金资助项目(No.D2013-47),重庆市教委科学技术研究基金资助项目(No.KJ130514)

Energy-Efficient Virtual Machine Migration and Consolidation Algorithm in Cloud Data Center

Li Hongjian,Dai Yu,Liu Rui and Jiang Yi   

  1. Department of Computer Sciences and Technology, Chongqing University of Posts and Telecommunications;Department of Computer Sciences and Technology, Chongqing University of Posts and Telecommunications;Department of Computer Sciences and Technology, Chongqing University of Posts and Telecommunications;Department of Computer Sciences and Technology, Chongqing University of Posts and Telecommunications
  • Online:2015-01-15 Published:2015-01-15
  • Supported by:
    2012 IOT Project of National Development and Reform Commission(No.ls201301), 2012 IOT Project of National Ministry of Industry and Information Technology(No.D2013-47), Scientific and Technological Research Program of Chongqing Municipal Education Commission (No.KJ130514)

摘要: 基于多资源能效模型,通过改进CPU双阈值法提出了多资源双阈值法触发虚拟机迁移,并将基于粒子群算法的虚拟机放置算法应用于虚拟机的能效整合。仿真实验结果表明,与传统的启发式算法相比,该算法有效地减少了物理节点的启用数量和虚拟机迁移次数,使系统资源利用率更加均衡。

Abstract: An energy-efficient virtual machine(VM) migration and consolidation algorithm with multi-resource was proposed. The algorithm was developed based on a multi-resource energy efficiency model. A method of multi-resource utilization double threshold was designed to trigger migration of virtual machine, and the optical particle swarm optimization method was introduced in the consolidation of virtual machine. Compared with traditional heuristic algorithms, the algorithm reduces the number of active physical nodes and the amount of VM’s migration effectively, and obtains better energy efficiency in cloud data center.


论文引用格式:李鸿健,代 宇,刘 锐等.云数据中心高能效的虚拟机迁移整合算法研究.电信科学,2015033
Li H J,Dai Y,Liu R,et al.Energy-efficient virtual machine migration and consolidation algorithm in cloud data center.Telecommunications Science,2015033

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