首页> 外文会议>Advances in Computing, Control, amp; Telecommunication Technologies, 2009. ACT '09 >Reliable Task Scheduling for Heterogeneous Distributed Computing Environment
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Reliable Task Scheduling for Heterogeneous Distributed Computing Environment

机译:异构分布式计算环境的可靠任务调度

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Competent scheduling is vital in exploiting the available computing resources. Scheduling dependant tasks is a well-studied problem and a number of approaches have been proposed. The problem of scheduling has been shown to be NP-complete. The existing algorithms for heterogeneous domains lag in efficiency as they do not consider the failures of the real world processors .The goal of the scheduling algorithm is to obtain a schedule with minimum makespan and maximum reliability. In this paper, two algorithms namely, Reliable Performance Effective Task Scheduling (RPETS) algorithm and Reliable Heterogeneous Earliest Finish-Time (RHEFT) algorithm, which are modifications of Performance Effective Task Scheduling(PETS) and Heterogeneous Earliest Finish-Time (HEFT) algorithms by including a reliability factor in the processor selection phase are proposed .The complexity of both the proposed algorithms is O(v2*p)
机译:有效的调度对于利用可用的计算资源至关重要。调度依赖任务是一个经过充分研究的问题,并且已经提出了许多方法。调度问题已被证明是NP完全的。现有的异构域算法没有考虑实际处理器的故障,因此效率较低。调度算法的目标是获得具有最小制造时间和最大可靠性的调度。本文对性能有效任务调度(PETS)和异构最早完成时间(HEFT)算法进行了改进,这两种算法分别是可靠性能有效任务调度(RPETS)算法和可靠异构最早完成时间(RHEFT)算法。提出了在处理器选择阶段引入可靠性因子的方法。两种算法的复杂度均为O(v2 * p)

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