面向边云协同计算的能耗感知资源调度方法

doi:10.3969/j.issn.0255-8297.2023.03.001

应用科学学报 ›› 2023, Vol. 41 ›› Issue (3): 369-377.doi: 10.3969/j.issn.0255-8297.2023.03.001

面向边云协同计算的能耗感知资源调度方法

杨君¹, 朱颖雯²

1. 南京特殊教育师范学院数学与信息科学学院, 江苏南京 210038;
2. 三江学院计算机科学与工程学院, 江苏南京 210012

收稿日期:2022-10-10 出版日期:2023-05-30 发布日期:2023-06-16
通信作者: 杨君,副教授,研究方向为边缘计算、云计算、服务计算。E-mail:yangjun_nju@163.com E-mail:yangjun_nju@163.com

Energy-Aware Resource Scheduling Method for Edge-Cloud Collaborative Computing

YANG Jun¹, ZHU Yingwen²

1. College of Mathematics and Information Science, Nanjing Normal University of Special Education, Nanjing 210038, Jiangsu, China;
2. College of Computer Science and Engineering, Sanjiang University, Nanjing 210012, Jiangsu, China

Received:2022-10-10 Online:2023-05-30 Published:2023-06-16

摘要/Abstract

摘要： 边缘计算在处理大量计算复杂的任务时，可能会引发任务实时执行效果下降以及能耗高等方面的问题。为此提出一种面向边云协同计算的能耗感知资源调度方法，首先根据实时保证率将任务分流到云计算和边缘计算，然后基于弹性资源特性提出能耗感知的资源调度策略，为实时任务生成虚拟资源配置方案，最后通过仿真实验验证了所提算法的有效性，该算法可以在保证实时性的前提下降低能耗。

关键词: 能耗感知, 资源调度, 边云协同计算, 弹性资源

Abstract: An energy-aware resource scheduling method for edge-cloud collaborative computing is proposed to address the issues of degraded real-time execution performance and high energy consumption when processing computationally complex tasks in edge computing. First, tasks are assigned to cloud computing and edge computing according to the real-time guaranteed rate. Then, an energy-aware resource scheduling strategy is proposed based on elastic resource characteristics to generate virtual resource configuration schemes for real-time tasks. Finally, simulation results verify the effectiveness of the proposed algorithm, which reduces energy consumption while ensuring real-time performance.

Key words: energy-aware, resource scheduling, edge-cloud collaborative computing, elastic resource

中图分类号:

P311

杨君, 朱颖雯. 面向边云协同计算的能耗感知资源调度方法[J]. 应用科学学报, 2023, 41(3): 369-377.

YANG Jun, ZHU Yingwen. Energy-Aware Resource Scheduling Method for Edge-Cloud Collaborative Computing[J]. Journal of Applied Sciences, 2023, 41(3): 369-377.

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面向边云协同计算的能耗感知资源调度方法

Energy-Aware Resource Scheduling Method for Edge-Cloud Collaborative Computing

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