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Reliable Scheduling of Precedence-Const rained Tasks Using a Genetic Algorithm

机译:使用遗传算法可靠地调度precequence-const下降雨任务

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This paper investigates the problem of reliable matching and scheduling of an application, which is composed of tasks with precedence constraints, in a heterogeneous distributed computing system. The reliable matching and scheduling problem is posed as finding a task assignment to minimize the probability of failure of the application. A cost function which defines this probability under a given task assignment is derived. Because the time complexity of the reliable matching and scheduling problem is exponential, to find optimal and subopti-mal solutions efficiently, a novel genetic algorithm is devised. The simulation results are provided to confirm the performance of the proposed genetic al-gorithm.
机译:本文调查了应用程序的可靠匹配和调度的问题,该应用程序由具有优先约束的任务组成,在异构分布式计算系统中。可靠的匹配和调度问题被提出为查找任务分配以最小化应用程序的失败概率。派生了在给定任务分配下定义此概率的成本函数。由于可靠匹配和调度问题的时间复杂性是指数的,因此有效地找到最佳和子Ove-Mal解决方案,设计了一种新颖的遗传算法。提供了仿真结果以确认所提出的遗传算法的性能。

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