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Scheduling of Parallel Migration for Multiple Virtual Machines

机译:多个虚拟机并行迁移的调度

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Virtualization technology can readily change the placement of an execution environment, such as a virtual machine (VM), in accordance with the current statuses. To effectively manage system resources in the virtualized infrastructure, the elasticity of a virtualized infrastructure has attracted significant attention for determining on which server VM should be deployed. However, there has been little attention to how long it takes to relocate VMs and in what order VMs migrate. It is difficult to determine the migration order of VMs in consideration of the residual resources of the destination server and network topology. In this paper, we propose two methods for scheduling the parallel migration of multiple VMs to reduce the impact on performance degradation due to VM migrations. We first formulate an integer linear programming (ILP) model to determine the VM migration order. To solve the problem in an acceptable time for large infrastructures, we also design a heuristic method based on dependencies between VM migrations and network bandwidth. Simulation results demonstrate that the heuristic-based method obtained the solutions in a few seconds for the settings with small differences with the optimal solutions obtained from the ILP-based method.
机译:根据当前状态,虚拟化技术可以容易地改变执行环境的放置,例如虚拟机(VM)。为了有效地管理虚拟化基础设施中的系统资源,虚拟化基础设施的弹性引起了对确定应该部署到哪个服务器VM的重大关注。但是,重新定位VM并以什么顺序迁移需要关注多长时间。考虑到目的地服务器和网络拓扑的剩余资源,难以确定VM的迁移顺序。在本文中,我们提出了两种方法来调度多个VM的并行迁移,以降低由于VM迁移引起的对性能下降的影响。我们首先装配整数线性编程(ILP)模型以确定VM迁移顺序。为了解决大型基础设施的可接受时间中的问题,我们还在VM迁移和网络带宽之间设计了一种基于依赖关系的启发式方法。仿真结果表明,基于启发式的方法在几秒钟内获得了解决方案,以便与从基于ILP的方法获得的最佳溶液具有小的差异的设置。

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