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Optimizing Migration of Virtual Machines across Data-Centers

机译:优化跨数据中心的虚拟机迁移

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Managing virtual machines (VM) in large scale enterprise grid scenarios, commonly encountered in data centers, is extremely challenging. Currently, live VM migration is based on QoS non-conformance events; migration of a VM is initiated as soon as the aggregate resource (CPU and memory) requirements of the VMs on the physical machine (PM) exceed the capacity available on the PM. However, this paper establishes that, such ȁ8;event-basedȁ9; migration can be extremely myopic. To overcome the limitations posed by the ȁ8;event-basedȁ9; VM migration, this paper, proposes a new migration strategy based on ȁ8;time-windowsȁ9;. The paper outlines a mixed integer linear programming (MILP) model and a heuristic solution for generating near-optimal rearrangements of the VMs on the PMs. The paper evaluates the solutions on various VM scenarios which show encouraging results.
机译:在数据中心中常见的大型企业网格场景中管理虚拟机(VM)极具挑战性。当前,实时VM迁移是基于QoS不合格事件的。一旦物理机(PM)上的VM的总资源(CPU和内存)需求超过PM上可用的容量,便会开始VM的迁移。然而,本文建立了这样的观点,即ȁ8;基于事件的ȁ9;迁移可能是非常近视的。克服“ 8”事件构成的限制;基于事件的“ 9”;虚拟机迁移,本文提出了一种基于ȁ8;time-windowsȁ9;的新迁移策略。本文概述了一个混合整数线性规划(MILP)模型和一种启发式解决方案,用于在PM上生成VM的最佳优化重排。本文评估了各种虚拟机方案的解决方案,这些方案显示出令人鼓舞的结果。

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