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云计算环境中虚拟机智能迁移关键技术研究

     

摘要

Basing on Eucalyptus cloud computing platform, a virtual machines intelligent migration module are proposed and designed, which meets the SLAs of applications. Its key algorithm is based on a modified best fit packing heuristic algorithm (BFD), which calculates the best allocation of virtual machines positions. The module moves these virtual machines to the positions by using KVM platform. The servers which are not allocated virtual machines will be set low idle state. Consequently, it is well to achieve an overall energy saving purpose. Tests results show that to a certain extent, the intelligent module reduce the energy consumption of the whole cloud computing system to reach the green computing purposes.%基于Eucalyptus开源云计算平台,提出并设计了虚拟机智能迁移技术,在满足SLA应用基础上,采用改进启发型最佳适应装箱算法(BFD)计算出虚拟机最佳配置位置,利用KVM动态迁移至相应位置,将空闲服务器置低耗状态,达到整体节能目的,从而解决当前云计算中心高能耗问题;原型系统对比实验表明,该智能迁移技术能在一定程度上降低整体云计算平台的能耗,达到绿色计算的目的.

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