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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 4
1164-1170

Task offload in edge computing based on evolutionary multi task multi-objective optimization

Kong Shan1
Zheng Yuqi2
1. College of Information Science & Technology, Zhengzhou Normal University, Zhengzhou 450044, China
2. School of Computer Science & Technology, Tiangong University, Tianjin 300387, China
DOI: 10.19734/j.issn.1001-3695.2023.08.0360

Abstract

At present, the mainstream solution of edge computing offloading is to model it as a multi-objective optimization problem to minimize energy consumption and delay. Different from the existing research, this paper mainly considered that tasks in different unloading areas had certain similarity in edge computing, which could be used to accelerate the convergence speed and solution effect of the algorithm. Based on this, this paper proposed an evolutionary multi-task multi-objective optimization algorithm to solve task offloading problems in different regions based on evolutionary multi-task optimization. This algorithm considered multiple independent regions to be optimized. It modeled the task offloading system model for each region as a multi-objective optimization problem, dynamically adjusting the communication level of the population by learning the user distribution in different regions and the similarity of the tasks to be processed, accelerating convergence speed, and achieving optimization for two different regions through one evolution. The experimental results show that the proposed algorithm has achieved good results in convergence speed and the uniformity of the optimal solution distribution, and can obtain the unloading deployment optimization scheme under edge computing.

Foundation Support

国家自然科学基金资助项目(61972456)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0360
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Technology of Network & Communication
Pages: 1164-1170
Serial Number: 1001-3695(2024)04-030-1164-07

Publish History

[2023-12-11] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

孔珊, 郑玉琦. 基于进化多任务多目标优化的边缘计算任务卸载 [J]. 计算机应用研究, 2024, 41 (4): 1164-1170. (Kong Shan, Zheng Yuqi. Task offload in edge computing based on evolutionary multi task multi-objective optimization [J]. Application Research of Computers, 2024, 41 (4): 1164-1170. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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