计算机科学 ›› 2015, Vol. 42 ›› Issue (Z6): 337-340.
王森,朱常鹏,韩 博
WANG Sen, ZHU Chang-peng and HAN Bo
摘要: 在线迁移已经成为数据中心的一个核心管理工具,广泛用于负载平衡、服务器整合和系统维护等方面。精确地预测在线迁移性能是制定有效迁移决策的前提。在广泛用于开源云计算的qemu-kvm虚拟化平台中,迁移策略与传统的预拷贝策略存在差异,导致已有的迁移模型无法有效地应用于该平台。为此,提出一种基于qemu-kvm平台的迁移策略的建模方法,基于模型抽取影响在线迁移性能的关键因素,分析它们与迁移性能之间的数学关系,最后针对这些关键参数建立相应的测试环境,以此测试评估模型的正确性与精确性。测试结果表明模型预测迁移时间和迁移数据总量的精确度在95%以上。
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