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Gang scheduling in a two-cluster system implementing migrations and periodic feedback

机译:在实现迁移和定期反馈的两集群系统中进行Gang调度

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In order to maximize the efficiency of a complex distributed system such as a grid, a proper scheduling algorithm is necessary. The scheduling algorithm is responsible for allocating the available system resources to the existing jobs. In this paper, we consider scheduling gangs in a multi-cluster system in the presence of critical jobs which arrive in a sporadic manner. We examine an adaptive grid scheduler with periodic feedback which allocates the existing jobs to the available clusters. A migration scheme is implemented in order to alleviate the impact of critical sporadic jobs on the performance of gang scheduling. A simulation model is used to provide results on the performance of the system.
机译:为了最大化复杂分布式系统(例如网格)的效率,必须使用适当的调度算法。调度算法负责将可用的系统资源分配给现有作业。在本文中,我们考虑在存在以零星方式到达的关键作业的情况下,在多集群系统中调度帮派。我们检查具有周期性反馈的自适应网格调度程序,该调度程序将现有作业分配给可用群集。实施迁移方案是为了减轻关键的零星工作对帮派调度性能的影响。仿真模型用于提供系统性能的结果。

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