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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 5
1491-1496

Multi-tasks resource joint optimization based on asynchronous reward deep deterministic policy gradient in edge computing

Zhou Heng
Li Lijun
Dong Zengshou
New Technology Research Laboratory of Intelligent Network, School of Electronic Information Engineering, Taiyuan University of Science & Technology, Taiyuan 030024, China
DOI: 10.19734/j.issn.1001-3695.2022.08.0471

Abstract

In mobile edge computing(MEC) system, the terminal devices can decide whether to offload delay-sensitive tasks to edge nodes for execution due to insufficient local computing capacity and battery power. Aiming at the problem that user tasks randomly generated and system resources dynamically changed during the offloading process, this paper proposed an asynchronous reward deep deterministic policy gradient(ARDDPG) algorithm. Different from the traditional policy of sequential waiting for execution of independent task resource allocation, the ARDDPG algorithm could execute the resource allocation in the time slot of the task generation without waiting for the completion of the execution of the previous task, and obtained the task calculation reward in asynchronous mode. The algorithm jointly optimized the task offload decision, system bandwidth and computing resource allocation under time delay constraints, and trained the neural network with depth deterministic policy gradient to explore the optimal performance. Simulation results show that compared with random strategy, baseline strategy and DQN algorithm, the ARDDPG algorithm can effectively reduce the task discarding rate and the delay and energy consumption of the system under different delay constraints and task generation rates.

Foundation Support

山西省回国留学人员科研资助项目(2020-126,2021-134,2021-135)
山西省重点研发计划资助项目(201903D121023)
山西省基础研究计划面上项目(20210302123206)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.08.0471
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 5
Section: Technology of Network & Communication
Pages: 1491-1496
Serial Number: 1001-3695(2023)05-032-1491-06

Publish History

[2022-11-29] Accepted Paper
[2023-05-05] Printed Article

Cite This Article

周恒, 李丽君, 董增寿. 基于异步奖励深度确定性策略梯度的边缘计算多任务资源联合优化 [J]. 计算机应用研究, 2023, 40 (5): 1491-1496. (Zhou Heng, Li Lijun, Dong Zengshou. Multi-tasks resource joint optimization based on asynchronous reward deep deterministic policy gradient in edge computing [J]. Application Research of Computers, 2023, 40 (5): 1491-1496. )

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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