虚拟机动态迁移的定量研究

Wenjin Hu, Andrew Hicks, Long Zhang, Eli M. Dow, Vinay Soni, Hao Jiang, Ronny L. Bull, Jeanna Neefe Matthews
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引用次数: 93

摘要

虚拟机(VM)热迁移是管理虚拟化环境的关键特性,支持动态负载平衡、整合电源管理、准备计划维护和其他管理特性。然而,并不是所有的虚拟机实时迁移都是一样的。变体包括内存迁移和存储迁移,前者依赖于迁移源和目标之间的共享后端存储,后者迁移存储状态和内存状态。我们已经开发了一个自动化的测试框架来测量实时迁移的重要性能特征,包括总迁移时间、迁移过程中VM无响应的时间,以及迁移过程中通过网络传输的数据量。我们应用了这个测试框架,并展示了在各种虚拟化系统(包括KVM、XenServer、VMware和Hyper-V)中研究实时迁移(内存迁移和存储迁移)的结果。研究结果为指导系统管理员和自治云管理系统的迁移决策提供了重要的数据。
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A quantitative study of virtual machine live migration
Virtual machine (VM) live migration is a critical feature for managing virtualized environments, enabling dynamic load balancing, consolidation for power management, preparation for planned maintenance, and other management features. However, not all virtual machine live migration is created equal. Variants include memory migration, which relies on shared backend storage between the source and destination of the migration, and storage migration, which migrates storage state as well as memory state. We have developed an automated testing framework that measures important performance characteristics of live migration, including total migration time, the time a VM is unresponsive during migration, and the amount of data transferred over the network during migration. We apply this testing framework and present the results of studying live migration, both memory migration and storage migration, in various virtualization systems including KVM, XenServer, VMware, and Hyper-V. The results provide important data to guide the migration decisions of both system administrators and autonomic cloud management systems.
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