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A heuristic for QoS based independent task scheduling in Grid environment

机译:网格环境中基于QoS的启发式独立任务调度

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Task scheduling in Grid becomes more complicated when user demands different QoS. In this paper, we have proposed QoS Guided Weighted Mean Time Min-Min Max-Min Selective heuristic for QoS based task scheduling. The heuristic takes single QoS parameter as requirements of tasks for deciding the match between resources and tasks. The heuristic also considers the performance of resources for scheduling. We have evaluated the heuristic in GridSim, for different task scenarios. The results are obtained and compared with other heuristics like Min-Min, Max-Min, QoS Guided Min-Min, Weighted Mean Time Min-Min Max-Min Selective. The results of the proposed heuristic are better for makespan, resource utilization and resource load balancing than other above mentioned heuristics.
机译:当用户要求不同的QoS时,网格中的任务调度将变得更加复杂。在本文中,我们针对基于QoS的任务调度提出了QoS指导加权平均时间Min-Min Max-Min选择性启发式算法。启发式方法将单个QoS参数作为任务的要求,以确定资源与任务之间的匹配。启发式方法还考虑了用于调度的资源的性能。我们已经针对不同的任务场景评估了GridSim中的启发式方法。获得结果并将其与其他启发式方法进行比较,例如“最小-最小”,“最大-最小”,“ QoS指导的最小-最小”,“加权平均时间”,“最小-最小”,“最大-最小”。所提出的启发式方法的结果比上面提到的其他启发式方法在制造期,资源利用率和资源负载平衡方面更好。

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