Large-Scale Power Cloud Resource Scheduling Algorithm in an Edge Computing Environment. Issue 1 (1st December 2022)

• Record Type: Journal Article
• Authors: Huang, Xiang; Liang, Zhihong; Zhang, Qiankun; Mo, Jianfeng; Zhao, Lei
• Is Part Of: Journal of physics. Volume 2404 Issue 1(2022)
• Publication Date: 2022-12-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2404/1/012055
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Aiming at the problem that the current power cloud resource scheduling is inefficient and time-consuming, a large-scale power cloud resource scheduling algorithm in an edge computing environment is proposed. Firstly, the resource management method of large-scale power clouds is optimized. Considering the resource sharing and task scheduling security requirements between secondary nodes, and combined with edge computing technology, the resource distribution management and scheduling algorithm of the power cloud are optimized. Finally, the experiment proves that the resource scheduling time of a large-scale power cloud resource scheduling algorithm under an edge computing environment is reduced by more than 15 minutes in the actual application process, And the scheduling effect is also better than the traditional method.