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Computing aware scheduling in mobile edge computing system

机译：计算移动边缘计算系统中的意识调度

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摘要

Mobile edge computing (MEC) is an emerging technology recognized as an effective solution to guarantee the Quality of Service for computation-intensive and latency-critical traffics. In MEC system, the mobile computing, network control and storage functions are deployed by the servers at the network edges (e.g., base station and access points). One of the key issue in designing the MEC system is how to allocate finite computational resources to multi-users. In contrast with previous works, in this paper we solve this issue by combining the real-time traffic classification and CPU scheduling. Specifically, a support vector machine based multi-class classifier is adopted, the parameter tunning and cross-validation are designed in the first place. Since the traffic of same class has similar delay budget and characteristics (e.g. inter-arrival time, packet length), the CPU scheduler could efficiently scheduling the traffic based on the classification results. In the second place, with the consideration of both traffic delay budget and signal baseband processing cost, a preemptive earliest deadline first (EDF) algorithm is deployed for the CPU scheduling. Furthermore, an admission control algorithm that could get rid off the domino effect of the EDF is also given. The simulation results show that, by our proposed scheduling algorithm, the classification accuracy for specific traffic class could be over 82 percent, meanwhile the throughput is much higher than the existing scheduling algorithms.
机译：移动边缘计算（MEC）是一种新兴技术，被认为是保证计算密集型和延迟关键的服务质量的有效解决方案。在MEC系统中，由网络边缘（例如，基站和接入点）的服务器部署移动计算，网络控制和存储功能。设计MEC系统的关键问题之一是如何将有限的计算资源分配给多用户。与以前的作品相比，在本文中，我们通过组合实时流量分类和CPU调度来解决此问题。具体地，采用了基于支持向量机的多级分类器，首先设计参数调整和交叉验证。由于同一类的流量具有类似的延迟预算和特征（例如，到达时间，分组长度），因此CPU调度器可以基于分类结果有效地调度流量。在第二个地方，考虑到流量延迟预算和信号基带处理成本，为CPU调度部署了抢先最早的截止日期第一（EDF）算法。此外，还给出了可以摆脱EDF的Domino效果的准入控制算法。仿真结果表明，通过我们所提出的调度算法，特定流量类的分类精度可能超过82％，同时吞吐量远高于现有的调度算法。

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  • 来源
    《Wireless Networks》 |2021年第6期|4229-4245|共17页
  • 作者

    Wang Ke; Yu XiaoYi; Lin WenLiang; Deng ZhongLiang; Liu Xin;

  • 作者单位

    Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing Peoples R China;

    Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing Peoples R China;

    Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing Peoples R China;

    Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing Peoples R China;

    Beijing Univ Posts & Telecommun Key Lab Universal Wireless Commun Minist Educ Beijing Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    MEC; SVM; EDF; Scheduling; Admission control;

    机译：MEC;SVM;EDF;调度;入学控制;

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