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A three-dimensional virtual resource scheduling method for energy saving in cloud computing

机译:云计算中节能的三维虚拟资源调度方法

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摘要

Cloud computing is growing in popularity among computing paradigms, but in practice the energy consumption of the cloud data centers is very high. In this paper, we build the resource model of the cloud data center and the dynamic power model of the physical machine, and then propose a three-dimensional virtual resource scheduling method for energy saving in cloud computing (TVRSM), in which the process of virtual resource scheduling are divided into three stages: virtual resource allocation, virtual resource scheduling and virtual resource optimization. For the different objective of each stage, we design three different algorithms, respectively. The simulation results prove that the TVRSM is able to efficiently allocate and manage the virtual resources in the cloud data center. And compared with other traditional algorithms, the TVRSM can effectively reduce the energy consumption of the cloud data center and significantly minimize the amount of violations of Service Level Agreement (SLA).
机译:云计算在计算范例中越来越受欢迎,但实际上,云数据中心的能耗非常高。本文建立了云数据中心的资源模型和物理机的动态功耗模型,然后提出了一种用于云计算节能的三维虚拟资源调度方法(TVRSM),其中虚拟资源调度分为三个阶段:虚拟资源分配,虚拟资源调度和虚拟资源优化。针对每个阶段的不同目标,我们分别设计了三种不同的算法。仿真结果证明,TVRSM能够有效地分配和管理云数据中心中的虚拟资源。与其他传统算法相比,TVRSM可以有效降低云数据中心的能耗,并显着减少违反服务水平协议(SLA)的数量。

著录项

  • 来源
    《Future generation computer systems》 |2017年第4期|66-74|共9页
  • 作者

    Wei Zhu; Yi Zhuang; Long Zhang;

  • 作者单位

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;

    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Resource scheduling power control; Data center; Virtualization; Cloud computing;

    机译:资源调度功率控制;数据中心;虚拟化;云计算;

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