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Performance evaluation of task migration in contiguous allocation for mesh interconnection topology

机译:网格互连拓扑中连续分配中任务迁移的性能评估

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In this paper, several efficient migration algorithms have been proposed to improve existing non-preemptive sub-mesh allocation strategies in multiprocessors which are two-row boundary migration algorithm (TRBMA) and different types of combined migration mechanisms. These methods are presented to solve the external fragmentation problem in contiguous allocation. In this process, the mentioned methods contain the algorithms, called the minimum threshold and prime number (MT&MPN), which determine the best sub-mesh size for the incoming job. These algorithms are used to increase continuity in multiprocessor systems. Using extensive simulations, we evaluated the proposed methods and compared them with previous strategies. Simulation outcomes clearly showed the TRBMA and the MT&MPN procedure produced the best average job execution time and average system utilization. Also, hybrid migration methods produced the best average job waiting time and average number of waiting jobs in comparison with the previous algorithms. Meanwhile, most of the traditional methods had better average job response time.
机译:本文提出了几种有效的迁移算法来改进多处理器中现有的非抢先子网格分配策略,该策略是两行边界迁移算法(TRBMA)和不同类型的组合迁移机制。提出了这些方法来解决连续分配中的外部碎片问题。在此过程中,上述方法包含称为最小阈值和素数(MT&MPN)的算法,这些算法确定传入作业的最佳子网格大小。这些算法用于增加多处理器系统中的连续性。通过广泛的仿真,我们评估了所提出的方法,并将其与先前的策略进行了比较。仿真结果清楚地表明,TRBMA和MT&MPN程序产生了最佳的平均作业执行时间和平均系统利用率。而且,与以前的算法相比,混合迁移方法产生了最佳的平均作业等待时间和平均等待作业数。同时,大多数传统方法具有更好的平均作业响应时间。

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