A More Accurate Delay Model based Task Scheduling in Cellular Edge Computing Systems

Yuan Zhang, Mingyang Xie
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引用次数: 4

Abstract

This paper studies task scheduling for delay minimization in cellular edge computing systems. Existing works depend on the delay model implied by Little’s Law. However, that model could be inaccurate. This work designs scheduling algorithm without using Little’s Law. Firstly, a more accurate delay model for cellular edge computing systems is established. Then, a Lyapunov function of delay is defined based on which a novel task scheduling algorithm is proposed. Simulation results show that the proposed scheduling algorithm can further reduce the delay compared with the traditional scheduling algorithm. Specifically, the proposed scheduling algorithm can achieve maximum delay reduction of 55% for light-traffic users.
基于延迟模型的蜂窝边缘计算系统任务调度
研究了蜂窝边缘计算系统中时延最小化的任务调度问题。现有的工作依赖于利特尔定律隐含的延迟模型。然而,这个模型可能并不准确。本文设计了不使用利特尔定律的调度算法。首先,建立了一个更精确的蜂窝边缘计算系统延迟模型。然后,定义了一个Lyapunov延迟函数,在此基础上提出了一种新的任务调度算法。仿真结果表明,与传统调度算法相比,所提出的调度算法能进一步降低时延。具体而言,本文提出的调度算法对于轻流量用户而言,最大可减少55%的时延。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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