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Task Scheduling Algorithm in Grid Environment Based on Duplication and Insertion

机译:基于复制和插入的网格环境任务调度算法

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Grid resource scheduling theory involving basictheoretical knowledge for grid scheduling was discussed inthis paper. Then an intensive study of the schedulingstrategy was made. According to the heterogeneouscharacteristic of grid environment, an improved algorithmDIBS for task scheduling were proposed. In this algorithm,the entire scheduling process was divided into three steps:layering, task priority, and task replication. In the layeringstage, according to the characteristics of the DAG, thesimultaneous distribution strategy for the multiple DAGimages was adopted. In the task priority stage, an improveddecision path strategy was proposed. In the replication stage,the previous key path nodes were replaced by the bestprecursor replication nodes. The effectiveness of thisalgorithm was verified by Gantt chart. In this paper, therelevant scheduling algorithm simulation was successfullyrealized by using the basic framework and functionsprovided by SimGrid and combining with the proposedscheduling algorithm. The availability, validity and stabilityof the DIBS scheduling algorithm were verified bycomparison and analysis of simulation results.
机译:讨论了涉及网格调度基本理论知识的网格资源调度理论。然后对调度策略进行了深入研究。针对网格环境的异构特性,提出了一种改进的任务调度算法DIBS。该算法将整个调度过程分为三个步骤:分层,任务优先级和任务复制。在分层阶段,根据DAG的特点,采用了多个DAG图像同时分布的策略。在任务优先级阶段,提出了一种改进的决策路径策略。在复制阶段,以前的关键路径节点被最佳的前体复制节点取代。 Gantt图验证了该算法的有效性。本文利用SimGrid提供的基本框架和功能,并结合提出的调度算法,成功实现了相关调度算法的仿真。通过对仿真结果进行比较和分析,验证了DIBS调度算法的有效性,有效性和稳定性。

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