Emergency Virtual Machine Online Migration in Cloud Data Centers

Zhonghua Xie, Tao Tao, Lisheng Ma
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Abstract

Service provided by virtual machine hosted at cloud data center (DC) has become the mainstream mode. However, cloud data centers are facing the threat from natural disasters. For disaster-affected data centers, to ensure the sustainability of services, virtual machine hosted at such data centers should be migrated quickly to safe data centers. This paper investigates an emergency virtual machine online migration scheme where the migration operation is carried out within the early warning of disaster. In the proposed scheme, a virtual machine can be migrated through multiple paths and the migration data center need to meet the required bandwidth and delay of connection requests supported by the virtual machine. An Integer Linear Program (ILP) model is established to get the solutions for the proposed scheme. The objective of the ILP model is to maximize the number of virtual machines successfully migrated within the given early warning time and the constraints are the available network resources. Numerical results show that the proposed model can effectively implement emergency virtual machine online migration.
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云数据中心中的虚拟机紧急在线迁移
在云数据中心(DC)托管的虚拟机提供服务已经成为主流模式。然而,云数据中心正面临着自然灾害的威胁。对于受灾难影响的数据中心,为了保证业务的可持续性,需要将托管在这些数据中心上的虚拟机快速迁移到安全的数据中心。本文研究了一种在灾难预警条件下进行虚拟机在线迁移的应急方案。在该方案中,虚拟机可以通过多条路径迁移,迁移数据中心需要满足虚拟机所支持的带宽和连接请求延迟要求。建立了整数线性规划(ILP)模型,得到了该方案的解。ILP模型的目标是在给定的预警时间内使成功迁移的虚拟机数量最大化,约束条件是可用的网络资源。数值结果表明,该模型能有效地实现虚拟机的紧急在线迁移。
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