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Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 2
575-581

Deep reinforcement learning-based dynamic SFC deployment in IoT-MEC network

Wang Liyan1,2
Zheng Xianfeng1,2
Du Yarong3
1. School of Big Data & Computer Science, Chongqing College of Mobile Communication, Chongqing 401520, China
2. Chongqing Key Laboratory of Public Big Data Security Technology, Chongqing 401420, China
3. China United Network Communications Co. , Ltd. , Hunan Branch, Changsha 410013, China
DOI: 10.19734/j.issn.1001-3695.2024.06.0222

Abstract

Dynamic service function chain(SFC) deployment for IoT-SFCRs in IoT-edge computing networks is a challenging problem for the dynamic changes in IoT networks due to the mobility of IoT terminals and the stochastic nature of service requests. This paper decomposed the dynamic SFC deployment problem in IoT-MEC networks into two subproblems, namely the VNF deployment subproblem and the routing path determination subproblem. Then it modeled the two subproblems as MDP. In order to minimize the weighted sum of resource consumption cost and end-to-end delay of IoT-SFCRs and to consider the load balancing of the network, it proposed a deep reinforcement learning(DRL) -based algorithm, which employed a target network and empirical replay approach to achieve a dynamic IoT-SFCRs for each arriving SFC deployment. Simulation results show that the algorithm improves the success rate by 17% and the average reward by 23.8% compared to existing algorithms under three typical network types.

Foundation Support

重庆市教育科学规划课题(K22YG224266)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.06.0222
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 2
Section: Technology of Network & Communication
Pages: 575-581
Serial Number: 1001-3695(2025)02-035-0575-07

Publish History

[2025-02-05] Printed Article

Cite This Article

王丽艳, 郑先锋, 杜娅荣. 物联网边缘计算网络中基于深度强化学习的动态SFC部署策略 [J]. 计算机应用研究, 2025, 42 (2): 575-581. (Wang Liyan, Zheng Xianfeng, Du Yarong. Deep reinforcement learning-based dynamic SFC deployment in IoT-MEC network [J]. Application Research of Computers, 2025, 42 (2): 575-581. )

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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