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Analysis of Tasks Reallocation in a Dedicated Grid Environment

机译:专用网格环境中的任务重新分配分析

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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.
机译:在本文中,我们研究了任务重新分配对集群异构且使用不同资源管理策略的多集群环境的影响。在这种情况下,我们提出了一种重新分配机制,该机制将等待的作业从一个群集迁移到另一个群集。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,每种算法都有几种启发式方法来安排作业。结果表明,在某些情况下,可以平均提高工作响应时间(超过两倍)。在其他情况下,重新分配机制在大多数时间都是有益的,这引起了人们对在Grid框架中实现重新分配机制的极大兴趣。

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