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Design and implementation of fuzzy priority deadline job scheduling algorithm in heterogeneous grid computing

机译:异构网格计算中模糊优先截止日期作业调度算法的设计与实现

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In heterogeneous distributed computing system, huge amount of attention is attracted by task scheduling process in recent days. Scheduling of task is an important problem, where, overall completion of task is completed within a shortest achievable time by scheduling dissimilar task to target processors. This research work concentrates on designing and implementing a fuzzy priority deadline based task scheduling algorithm (FPDSA) having a fuzzy deadline limitation to competent job execution. This proposed FPDSA algorithm is compared with conventional task scheduling techniques like,Improvised Deadline Scheduling Algorithm (IDSA), Earliest Deadline First (EDF) and Prioritized Based Deadline Scheduling Algorithm with respect to Average Actual Execution (AAE) and amount of Non-Delayedand Delayed Jobs. For 4000 tasks, proposed algorithm achieves 7.45%, 27.94% and 30.84% less AAE than IDSA, EDF, and PDSA and for same number of tasks, computational results by proposed FPDSA for non-delayed tasks are 0.32%, 2.17%, and 1.70% higher than IDSA, EDF, and PDSA. This enhances proposed FPDSA's performance when compared to present scheduling algorithms and illustratesFPDSA is more appropriate scheduling technique forgrid system.
机译:在异构分布式计算系统中,最近几天的任务调度过程吸引了大量的注意力。任务的调度是一个重要问题,通过将不同的任务调度到目标处理器,在最短的可实现时间内完成任务的整体完成。本研究工作专注于设计和实施基于模糊的优先截止日期的任务调度算法(FPDSA),对能力工作执行具有模糊截止日期限制。将该提议的FPDSA算法与传统的任务调度技术进行比较,类似于,即可提高截止日期调度算法(IDSA),最早的截止日期第一(EDF)和基于最早的基于截止日期调度算法,以及关于平均实际执行(AAE)和非延迟和延迟作业的量的优先级的截止日期调度算法。对于4000个任务,所提出的算法比IDSA,EDF和PDSA达到7.45%,27.94%和30.84%,并且对于相同数量的任务,对于未延迟任务的建议FPDSA的计算结果为0.32%,2.17%和1.70 %高于IDSA,EDF和PDSA。与现有调度算法相比,这提高了提出的FPDSA的性能,并且示出了FPDSA是更合适的调度技术Forgrid系统。

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