Analysis of Tasks Reallocation in a Dedicated Grid Environment

Y. Caniou, G. Charrier, F. Desprez
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引用次数: 15

Abstract

In this paper, we study the impact of tasks reallocation onto a multi-cluster environment where clusters are heterogeneous and use different resources management policies. In this context, we propose a reallocation mechanism that migrates waiting jobs from one cluster to another. We performed simulations using real traces to study benefits of reallocations. We compared two algorithms providing the reallocation mechanism, each with several heuristics to schedule jobs. Results show that in some cases it is possible to obtain a substantial gain on the average job response time (more than a factor of two). In the other cases, the reallocation mechanism is beneficial most of the time, making of great interest the implementation of a reallocation mechanism in a Grid framework.
专用网格环境下的任务再分配分析
在本文中,我们研究了任务重新分配对多集群环境的影响,其中集群是异构的,并且使用不同的资源管理策略。在这种情况下,我们提出了一种重新分配机制,将等待的作业从一个集群迁移到另一个集群。我们使用真实轨迹进行了模拟,以研究重新分配的好处。我们比较了两种提供重新分配机制的算法,每种算法都有几个启发式方法来调度作业。结果表明,在某些情况下,有可能在平均作业响应时间上获得可观的增益(超过两倍)。在其他情况下,重新分配机制在大多数情况下是有益的,这使得在网格框架中实现重新分配机制变得非常有趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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