App. Res. of Comp. Accepted Paper
Vol. 44, 2027 No. 2

Dynamic preemptive task offloading based on multi-agent reinforcement learning in end-edge-cloud environments

Wang Lelea
Xie Xiaolana
Huang Qianb
a. College of Computer Science and Engineering, b. College of Foreign Studies, Guilin University of Technology, Guilin 541006, China
DOI: 10.19734/j.issn.1001-3695.2026.06.0163

Abstract

To address task blocking near deadlines caused by queueing, execution order, and resource competition at edge servers, this study developed a dynamic-priority and preemption-aware multi-agent task offloading method. The method constructed an end-edge-cloud collaborative partial task offloading model and used Multi-Agent Proximal Policy Optimization (MAPPO) to determine task offloading ratios. At edge servers, it dynamically updated task priorities according to task importance, task size, and waiting delay, and evaluated preemption necessity and subsequent handling of affected tasks based on delay slack. Simulation experiments showed that, compared with four baseline algorithms, the proposed method reduced response delay by 2.98%–8.96% and relatively improved task success rate by 2.33%–13.72%. These results indicate that the method alleviates edge-server queue blocking, improves task completion efficiency, and maintains stable performance across different system scales.

Foundation Support

国家自然科学基金资助项目(62262011)
广西重点研发项目(桂科AB25069300,桂科AB25069377)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2026.06.0163
Publish at: Application Research of Computers Accepted Paper, Vol. 44, 2027 No. 2

Publish History

[2026-10-21] Accepted Paper

Cite This Article

王乐乐, 谢晓兰, 黄倩. 云边端环境下基于多智能体强化学习的动态抢占任务卸载 [J]. 计算机应用研究, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.06.0163. (Wang Lele, Xie Xiaolan, Huang Qian. Dynamic preemptive task offloading based on multi-agent reinforcement learning in end-edge-cloud environments [J]. Application Research of Computers, 2027, 44 (2). (2026-10-24). https://doi.org/10.19734/j.issn.1001-3695.2026.06.0163. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2025 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)