云环境下基于冷点虚拟机迁移的热点消除方法

Eliminating hot-spots based on cold-spot virtual machine migration in the cloud

初始分配的虚拟机资源常常不能满足运行时服务的性能要求,导致资源利用率过高、响应时间过长等“热点”问题。为了消除热点以保障服务性能,传统方法主要包括资源扩展和虚拟机动态迁移,但还存在预留资源空间不足和虚拟机迁移代价过大等问题。针对上述问题,该文提出一种基于冷点虚拟机迁移的热点消除方法,即以冷点虚拟机为迁移对象,将其释放的资源分配给热点虚拟机,以保持热点服务的性能、降低热点消除代价,从而更好地满足服务等级协议约束,并通过实验证明该方法可行有效。

Initial allocations of virtual machine（VM） resources are often unable to meet the performance requirements of runtime services, resulting in excessive resource utilization, slow response times and other ＂hot spot＂ problems. The traditional approach to eliminating these hot-spots has mainly been to include resources extensions and virtual machine live migration, but there are still problems with insufficient resources and large migration costs. The paper describes a hot-spot elimination method based on cold-spot VMs which migrates the cold-spot VM and then distributes the released resources to the hot-spot VM. This approach maintains the hot-spot service performance and reduces the cost of hot-spot elimination to better meet the SLA constraints. Tests show that this method is feasible and effective.