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Pacer: A Progress Management System for Live Virtual Machine Migration in Cloud Computing

机译:Pacer:用于云计算中的实时虚拟机迁移的进度管理系统

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摘要

Live migration of virtual machines is a key management function in cloud computing. Unfortunately, no live migration progress management system exists in the state-ofthe- art, leading to (1) guesswork over how long a migration might take and the inability to schedule dependent tasks accordingly; (2) unacceptable application degradation when application components become split over distant cloud datacenters for an arbitrary period during migration; (3) inability to tradeoff application performance and migration time ?? e.g. to finish migration later for less impact on application performance. Pacer is the first migration progress management system that solves these problems. Pacer's techniques are based on robust and lightweight run-time measurements of system and workload characteristics, efficient and accurate analytic models for progress predictions, and online adaptation to maintain user-defined migration objectives for coordinated and timely migrations. Our experiments on a local testbed and on Amazon EC2 show that Pacer is highly effective under a range of application workloads and network conditions.
机译:虚拟机的实时迁移是云计算中的关键管理功能。不幸的是,现有技术中没有实时迁移进度管理系统,这导致(1)对迁移可能花费多长时间以及无法相应地安排依赖任务的猜测。 (2)在迁移过程中,当应用程序组件在任意时期内被分散到遥远的云数据中心中时,应用程序的性能下降将不可接受; (3)无法权衡应用程序的性能和迁移时间例如稍后完成迁移,以减少对应用程序性能的影响。 Pacer是第一个解决这些问题的迁移进度管理系统。 Pacer的技术基于对系统和工作负载特征的健壮且轻量级的运行时测量,用于进度预测的高效且准确的分析模型以及在线调整以维护用户定义的迁移目标以进行协调和及时的迁移。我们在本地测试平台和Amazon EC2上进行的实验表明,Pacer在一系列应用程序工作负载和网络条件下非常有效。

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