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Design and Evaluation of CPU Scheduling Algorithms Based on Relative Time Quantum: Variations of Round Robin Algorithm

机译:基于相对时间量子的CPU调度算法的设计与评估:循环算法的变化

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Despite advancements in computing resources, resource optimization is still a relevant research domain. Advent of cloud computing environments and big data applications require optimized computing resource usage, as a result traditional approaches of process scheduling need to be further improved. In this paper, we present two variations of round robin CPU scheduling algorithm, where time quantum is calculated by averaging the process burst time for each half of the list and then applying addition and subtraction to the relative values. The simulation results highlight that performance of these modified algorithms has significantly improved as compared to traditional round robin algorithm.
机译:尽管计算资源有进步,但资源优化仍然是一个相关的研究域。 云计算环境和大数据应用的出现需要优化的计算资源使用情况,结果需要进一步提高传统的处理调度方法。 在本文中,我们介绍了循环CPU调度算法的两个变体,其中通过对列表的每一半的过程突发时间进行平均来计算时间昆腾,然后对相对值施加添加和减法来计算时间昆腾。 与传统循环算法相比,仿真结果突出显示这些改进算法的性能显着提高。

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