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ADAPTIVE SCHEDULING FOR TASK FARMING WITH GRID MIDDLEWARE

机译:带有网格中间件的任务农业的自适应调度

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摘要

Scheduling in metacomputing environments is an active field of research as the vision of a Computational Grid be- comes more concrete. An important class of Grid applica- tions are long-running parallel computations with large numbers of somewhat independent tasks (Monte Carlo simulations, parameter-space searches, etc.). A number of Grid middleware projects are available to implement such applications, but scheduling strategies are still open research issues. This is mainly due to the diversity of both Grid resource types and their availability patterns.
机译:随着计算网格的愿景变得更加具体,在元计算环境中进行调度是一个活跃的研究领域。网格应用程序的重要一类是长时间运行的并行计算,其中包含大量有些独立的任务(蒙特卡罗模拟,参数空间搜索等)。有许多Grid中间件项目可用于实现此类应用程序,但是调度策略仍然是未解决的研究问题。这主要是由于网格资源类型及其可用性模式的多样性。

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