方义秋, 唐道红, 葛君伟. 云环境下基于虚拟机动态迁移的调度策略研究[J]. 微电子学与计算机, 2012, 29(4): 45-48.
引用本文: 方义秋, 唐道红, 葛君伟. 云环境下基于虚拟机动态迁移的调度策略研究[J]. 微电子学与计算机, 2012, 29(4): 45-48.
FANG Yi-qiu, TANG Dao-hong, GE Jun-wei. Research on Schedule Strategy Based on Dynamic Migration of Virtual Machines in Cloud Environment[J]. Microelectronics & Computer, 2012, 29(4): 45-48.
Citation: FANG Yi-qiu, TANG Dao-hong, GE Jun-wei. Research on Schedule Strategy Based on Dynamic Migration of Virtual Machines in Cloud Environment[J]. Microelectronics & Computer, 2012, 29(4): 45-48.

云环境下基于虚拟机动态迁移的调度策略研究

Research on Schedule Strategy Based on Dynamic Migration of Virtual Machines in Cloud Environment

  • 摘要: 针对目前云环境资源调度采用静态负载均衡策略易于导致资源浪费的问题,提出了一种双限定值的虚拟机动态迁移的调度策略.该策略将当前负载状况与负载过重或过轻时两个限定值比较,选择介于二者之间能耗较低的虚拟机迁移至目标节点.仿真实验表明,该策略能够减少迁移次数,降低虚拟机迁移能耗,从而尽可能达到负载均衡和满足服务等级协议的需求.

     

    Abstract: Aming at the current resource scheduling using the static load balancing strategy in cloud computing environment could easily lead to the waste of resources,the paper presents the Double Threshold(DT) of scheduling strategy based on virtual machine live migration.The strategy will compare the current load conditions with double threshold values in which is overloading or too light loading,and choose the virtual machine with lower energy consumption and between with the two values to migrate the destination node.Experimental results show that the strategy can reduce the migration times and the energy consumption of virtual machine migration,so as to achieve load balancing and meet service level agreement(SLA) requirements.

     

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