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An Effective Round Robin Algorithm using Min-Max Dispersion Measure

机译:使用最小-最大色散测度的有效循环算法

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Round Robin (RR) scheduling algorithm is a preemptive scheduling algorithm. It is designed especially for time sharing Operating System (OS). In RR scheduling algorithm the CPU switches between the processes when the static Time Quantum (TQ) expires. RR scheduling algorithm is considered as the most widely used scheduling algorithm in research because the TQ is equally shared among the processes. In this paper a newly proposed variant of RR algorithm called Min-Max Round Robin (MMRR) scheduling algorithm is presented. The idea of this MMRR is to make the TQ repeatedly adjusted using Min-Max dispersion measure in accordance with remaining CPU burst time. Our experimental analysis shows that MMRR performs much better than RR algorithm in terms of average turnaround time, average waiting time and number of context switches.
机译:循环调度(RR)调度算法是抢占式调度算法。它是专为分时操作系统(OS)设计的。在RR调度算法中,当静态时间量子(TQ)期满时,CPU在进程之间切换。 RR调度算法被认为是研究中使用最广泛的调度算法,因为TQ在进程之间平均共享。在本文中,提出了一种新提出的RR算法变体,称为最小最大循环(MMRR)调度算法。此MMRR的想法是根据剩余的CPU突发时间,使用Min-Max离散度度量来反复调整TQ。我们的实验分析表明,MMRR在平均周转时间,平均等待时间和上下文切换次数方面比RR算法要好得多。

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