App. Res. of Comp. Accepted Paper
Vol. 43, 2026 No. 6

Task offloading strategy based on improved Harris hawk optimization algorithm

Yang Man1,2
Zhang Zepeng2
Xue Panpan3
1. School of Information Engineering, Lanzhou City University, Lanzhou Gansu 730070, China
2. School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou Gansu 730070, China
3. Key Laboratory of Linguistic and Cultural Computing Ministry of Education, Northwest Minzu University, Lanzhou Gansu 730070, China
DOI: 10.19734/j.issn.1001-3695.2025.10.0438

Abstract

To address the challenges of resource constraints and system overhead in mobile edge computing systems when offloading tasks for multiple users simultaneously, this study investigates the task offloading problem in CDMA-based edge computing networks. By employing the improved Harris hawk optimization algorithm (IHHO) , the research establishes a mapping relationship between population characteristics and system objectives to jointly optimize system delay and energy consumption, thereby minimizing the overall system cost under constraints such as computing modes, maximum tolerable delay, and the maximum number of devices a single server can accommodate. In solving the problem, the study considers practical factors such as "0-1" offloading of tasks, diversified computing modes, and the tendency of the traditional Harris hawk optimization algorithm to fall into local optima. Based on discrete coding and shuffle algorithm initialization, an optimal offloading strategy is designed. Simulation results demonstrate that the proposed algorithm significantly reduces task processing overhead under delay constraints, providing an effective solution for resource allocation in edge computing.

Foundation Support

甘肃省教育厅高校教师创新基金资助项目(2025B-171)
兰州城市学院青年基金资助项目(LZCU-QN2025-01)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.10.0438
Publish at: Application Research of Computers Accepted Paper, Vol. 43, 2026 No. 6

Publish History

[2026-02-26] Accepted Paper

Cite This Article

杨曼, 张泽鹏, 薛盼盼. 基于改进哈里斯鹰优化算法的任务卸载策略 [J]. 计算机应用研究, 2026, 43 (6). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0438. (Yang Man, Zhang Zepeng, Xue Panpan. Task offloading strategy based on improved Harris hawk optimization algorithm [J]. Application Research of Computers, 2026, 43 (6). (2026-03-24). https://doi.org/10.19734/j.issn.1001-3695.2025.10.0438. )

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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