[1]钟云峰,宋伟宁.基于云边协同多任务计算卸载策略[J].计算机技术与发展,2022,32(04):69-73.[doi:10. 3969 / j. issn. 1673-629X. 2022. 04. 012]
　ZHONG Yun-feng,SONG Wei-ning.Multi-task Computation Offloading Strategy Based on Cloud-side Collaboration[J].,2022,32(04):69-73.[doi:10. 3969 / j. issn. 1673-629X. 2022. 04. 012]
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基于云边协同多任务计算卸载策略()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
32
期数:
2022年04期
页码:
69-73
栏目:
系统工程
出版日期:
2022-04-10

文章信息/Info

Title:
Multi-task Computation Offloading Strategy Based on Cloud-side Collaboration
文章编号:
1673-629X(2022)04-0069-05
作者:
钟云峰; 宋伟宁
东华理工大学 信息工程学院,江西 南昌 330013
Author(s):
ZHONG Yun-feng; SONG Wei-ning
School of Information Engineering,East China University of Technology,Nanchang 330013,China
关键词:
边缘计算; 计算卸载; 工业互联网; 卸载时延; 卸载决策
Keywords:
edge computing; computation offloading; industrial Internet; unloading delay; offloading decision-making
分类号:
TP301
DOI:
10. 3969 / j. issn. 1673-629X. 2022. 04. 012
摘要:
在工业互联网中,工厂的设备计算能力有限,边缘计算的出现有效缓解了现场设备的计算压力,提供低时延的计算服务。 有效的计算卸载策略能够更好地提供高质量的服务,如今大多数有关计算卸载的研究都是移动边缘计算,移动边缘计算的卸载策略在工业互联网中不适用, 因此研究工业互联网中基于边缘计算的计算卸载很有必要。 为此,提出了基于云边协同的计算卸载框架以及系统模型;基于此系统模型,以最小化任务时延为目标,将问题形式描述为 01 整数规划问题,并提出了基于混合整数线性规划算法的计算卸载策略解决该问题。 实验结果表明,与局部卸载方法和最小时延和能耗卸载方法相比,提出的基于云边协同的计算卸载方法在时延上分别降低了 4% 和 10% ,提高了系统性能。
Abstract:
In the industrial Internet,the computing power of the equipment in the factory is limited,and the emergence of edge computing has effectively alleviated the computing pressure of field devices and provided low-latency computing services. Effective computation of floading strategies can better provide high-quality services. Nowadays,most of the research on computation offloading is mobile edge computing. The offloading strategy of mobile edge computing is not applicable in the industrial Internet. Therefore,it is necessary to research the computation offloading based on edge computing in the industrial Internet. To this end,a computation offloading framework and system model based on cloud-side collaboration are proposed. Based on this system model,with the goal of minimizing task delay,the problem form is described as a 01 integer programming problem,and a mixed integer linear programming algorithm is proposed. The computation offloading strategy solves this problem. The experimental results show that compared with the partial offloading method and the minimum delay and energy offloading method, the proposed cloud - side collaborative computation offloading method reduces the delay by 4% and 10% ,respectively,and improves the system performance.

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更新日期/Last Update: 2022-04-10