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A look-ahead algorithm for online multiple workflow scheduling problem in heterogeneous systems

机译:异构系统中在线多工作流调度问题的前瞻算法

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A look-ahead algorithm is proposed to solve the online multiple workflow scheduling problem with two constraints in heterogeneous system. In this problem, workflows come to the system online when they are released, and each workflow is composed of multiple tasks which can be executed on heterogeneous processors, according to their types. Considered two constrains including the non-preemptive processor and the task order in a workflow, the proposed algorithm utilizes the information contained in the list of the submitted workflows and optimizes the scheduling of current task according to subsequent tasks. It can keep the subsequent tasks from waiting for a long time due to the occupation of the limited resource by the current task. The simulation results show that the proposed look-ahead algorithm outperforms four classical online scheduling algorithms, and the algorithm can get better performance when the look-ahead value L=1 than L2.
机译:针对异构系统中存在两个约束的在线多工作流调度问题,提出了一种超前算法。在此问题中,工作流在发布时会联机进入系统,并且每个工作流均由多个任务组成,这些任务可以根据其类型在异构处理器上执行。考虑到包括非抢占处理器和工作流中的任务顺序在内的两个约束,提出的算法利用了已提交工作流列表中包含的信息,并根据后续任务优化了当前任务的调度。由于当前任务占用了有限的资源,因此可以使后续任务不再等待很长时间。仿真结果表明,该算法优于四种经典的在线调度算法,当L = 1时,L2算法可以获得更好的性能。

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