k-Ary - n-Cube连接多计算机的多伙伴非连续分配作业调度性能

D. M. A. Al-Kerboly
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引用次数: 0

摘要

非连续分配策略(ncaa)的执行可能真正充满了用于限制决定使用的职业类型的活动预订过程。本文将著名的针对k元n立方形状关联多计算机的多伙伴N.C.A.S实现回归到识别不同的重要作业调度算法。这些算法是最大作业优先(LJF)、最后先服务(LCFS)、最小作业优先(SJF)和先到先服务(FCFS)作业调度算法。通过完整的颤振水平模拟,对算法进行了协调。在具有这些场景的综合工作负载模型中,完全模拟结果服从于工程剩余任务。在系统负载小到大的情况下,在系统利用率和平均作业周转时间的关系上,它明显优于SJF和LJF。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Job Scheduling Performance for Multiple Partner Non-Contiguous Allocation with k-Ary n-Cube connected Multi-Computers
The non-contiguous allocation strategies (N.C.A.S) execution might be genuinely full of the activity booking procedure utilized for restricting the sort in which occupations are decide to usage. With this paper, the renowned Multiple Partner N.C.A.S implementation aimed at k-ary n-cube shape associated multi-computers is returned to recognizing different important algorithms of job scheduling. These algorithms are the largest job first (LJF), last come first served (LCFS), smallest job first (SJF), and first come first served (FCFS) job scheduling algorithms. The algorithms are coordinated through complete flutter level simulations. Entirely simulations result subordinate upon engineered remaining task at synthetic workload models with these scenarios. Finished explicit, it is generously better than SJF and LJF in relationships of system utilization and average job turnaround times under little to hefty system loads.
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