ACPEC: A Resource Management Scheme Based on Ant Colony Algorithm for Power Edge Computing

Author:

Liu Zhu12ORCID,Qiu Xuesong1ORCID,Zhang Nan2

Affiliation:

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

2. State Grid Information & Telecommunication Group Co., Ltd, Beijing 102211, China

Abstract

With the development of power IoTs (Internet of Things) technology, more and more intelligent devices access the network. Cloud computing is used to provide the resource storage and task computing services for power network. However, there are many problems with traditional cloud computing such as the long-time delay and resource bottleneck. Therefore, in this paper, a two-level resource management scheme is put forward based on the idea of edge computing. Furthermore, a new task scheduling algorithm is presented based on the ant colony algorithm, which realized the resource sharing and dynamic scheduling. The data of simulation show that this algorithm has a good effect on the performance of task execution time, power consumption, and so on.

Funder

National Basic Research Program of China

Publisher

Hindawi Limited

Subject

Computer Networks and Communications,Information Systems

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