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A Performance Comparison of Coscheduling Strategies for Workstation Clusters

机译：工作站集群的协同调度策略的性能比较

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Workstation clusters are emerging as a general-purpose computing platform for the execution of workloads comprising parallel and sequential applications. The scalability and flexibility typical of implicit coscheduling strategies makes them a very promising solution to the scheduling needs of workstation clusters. In this paper we present a simulation study that compares, for a variety of workloads (that include both parallel and sequential applications) and operating system schedulers, 12 implicit coscheduling strategies in terms of the performance they are able to deliver to applications. By using a detailed simulator, we evaluate the performance of different coscheduling alternatives for a variety of simulation scenarios, and we identify the set of strategies that deliver the best performance to all the applications composing typical cluster workloads. Moreover, we show that for schedulers providing immediate preemption, the best strategies are also the simplest ones to implement.
机译：工作站集群正在成为一种通用计算平台，用于执行包含并行和顺序应用程序的工作负载。隐式协同调度策略的典型可伸缩性和灵活性使它们成为满足工作站群集调度需求的非常有前途的解决方案。在本文中，我们提供了一个模拟研究，针对各种工作负载（包括并行和顺序应用程序）和操作系统调度程序，将12种隐式协同调度策略在可交付给应用程序的性能方面进行了比较。通过使用详细的模拟器，我们可以评估各种模拟场景下不同调度方案的性能，并确定可以为组成典型集群工作负载的所有应用程序提供最佳性能的策略集。此外，我们表明，对于提供立即抢占的调度程序，最佳策略也是最简单的策略。

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