Research on Task Scheduling Methods in 5G Mobile Edge Computing Environments
Guangping Zhu, Tianji Liu, Yongshan Guo, Danlei Xia, Dongdong Lv, Xiaohui Zhang · 2024
With the development of smart grids, power data presents characteristics of massive volume, high speed, and high heterogeneity, posing higher requirements for data processing and transmission capabilities. The innovation of 5G technology has made edge computing more widely applied in smart grids, helping to solve data transmission bottlenecks, reduce latency, and enhance real-time monitoring capabilities. This paper combines the FCFS, EDF, and SJF algorithms to propose a new comprehensive scheduling algorithm, DWECS (Dynamic Weighted Edge Computing Scheduler). By setting task priorities and resource allocation strategies, DWECS effectively improves task completion efficiency and controls system operating costs. This research provides a new method for edge computing task scheduling in smart grids and supports the intelligent and economic management of distribution networks.