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A two-level hierarchical scheduling method for independent tasks in grids

机译:网格中的独立任务的双层分层调度方法

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Parallel and distributed computing environments are essential and utilized to meet the needs of a wide variety of high-throughput applications. Scheduling strategies are important in order to efficiently utilize resources and to improve response times, throughput and utilization of computing platforms. In this paper, we present a two-level hierarchical method for scheduling of independent coarse-grained tasks in grid environments. With two-level architecture, the Grid Scheduler (master node of upper-level) proceeds with distribution of tasks to computing sites, while the Local Resource Manager (master node of lower level) assigns this task to an available computing node according to a given threshold. Comparing experimental results with those obtained from well known traditional scheduling algorithms, the effectiveness of the proposed method consistently shows a benefit from this approach.
机译:并行和分布式计算环境是必不可少的,并利用满足各种高吞吐量应用的需求。调度策略很重要,以便有效地利用资源并改善计算平台的响应时间,吞吐量和利用率。在本文中,我们提出了一种用于在网格环境中调度独立粗粒任务的两级分层方法。使用两级架构,网格调度器(上级的主节点)与计算站点的任务分发进行,而本地资源管理器(较低级别的主节点)根据给定的允许将此任务分配给可用的计算节点临界点。将实验结果与从众所周知的传统调度算法获得的实验结果进行比较,所提出的方法的有效性一致地显示出这种方法的好处。

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