计算机科学
移动边缘计算
能源消耗
资源配置
服务器
资源管理(计算)
最优化问题
GSM演进的增强数据速率
整数规划
边缘计算
计算卸载
计算机网络
线性规划
分布式计算
数学优化
计算复杂性理论
服务质量
工程类
电气工程
电信
数学
算法
作者
Zilong Jin,Chengbo Zhang,Yuanfeng Jin,Lejun Zhang,Jian Su
出处
期刊:IEEE Transactions on Industrial Informatics
[Institute of Electrical and Electronics Engineers]
日期:2022-09-01
卷期号:18 (9): 6236-6243
被引量:17
标识
DOI:10.1109/tii.2021.3125376
摘要
Attributable to the emergence of mobile edge computing (MEC), the hardware-constrained industrial devices have further computational and service capability in industrial Internet of Things (IIoT) systems. Nevertheless, unreliable network environments and unpredictable processing delays are intolerable factors for any service application. Therefore, this article studies the associated constraint problem of how to optimize the offloading decision and resource allocation in collaborative edge computing networks with multiple IIoT devices and MEC servers. In order to attain this purpose, the optimization problem is mathematically derived as a mixed-integer nonlinear programming problem which is a large-scale NP-hard problem. Then, an improved differential evolution algorithm (IDE) is proposed to obtain the optimal solutions in an accessible time complexity. Finally, the performance of the IDE-based resource allocation scheme has been compared with other baseline schemes. Simulation results demonstrate that the IDE-based optimization scheme could significantly reduce the system delay and energy consumption.
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