Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 41, 2024 No. 4
1150-1158

Multi-video stream bandwidth allocation strategy based on federated consensus mechanism

Zhang Chunyanga
Yang Zhigangb
Liu Yazhia
Li Weia
a. College of Artificial Intelligence, b. College of Electrical Engineering, North China University of Science & Technology, Tangshan Hebei 063210, China
DOI: 10.19734/j.issn.1001-3695.2023.08.0371

Abstract

This paper proposed a distributed video streaming fair scheduling strategy based on federated deep reinforcement learning to address the issues of unfair user QoE and low bandwidth utilization caused by uneven video bandwidth allocation in bottleneck links. This strategy dynamically generated bandwidth allocation weights based on the client's network status and the QoE level of each video stream. The congestion control algorithm at the server side allocated bandwidth to each video stream in the bottleneck link according to the computed weights, ensuring equitable transmission of video streams in the bottleneck link. Each video terminal operated a bandwidth allocation agent, and multiple agents train periodically using federated learning to facilitate rapid convergence of the agent models. The bandwidth allocation agents synchronized their training parameters through a consensus mechanism, enabling distributed aggregation of the agent model parameters while ensuring the security of parameter sharing. Experimental results demonstrate that the proposed strategy improves QoE fairness and overall QoE efficiency by 10% and 7%, respectively, compared to the latest solutions. This indicates that the proposed strategy has potential and effectiveness in addressing the uneven allocation of video stream bandwidth and improving user experience.

Foundation Support

河北省高等学校科学技术研究资助项目(ZD2022102)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.08.0371
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 4
Section: Technology of Network & Communication
Pages: 1150-1158
Serial Number: 1001-3695(2024)04-028-1150-09

Publish History

[2023-11-02] Accepted Paper
[2024-04-05] Printed Article

Cite This Article

张春阳, 杨志刚, 刘亚志, 等. 基于联邦共识机制的多视频流带宽分配策略 [J]. 计算机应用研究, 2024, 41 (4): 1150-1158. (Zhang Chunyang, Yang Zhigang, Liu Yazhi, et al. Multi-video stream bandwidth allocation strategy based on federated consensus mechanism [J]. Application Research of Computers, 2024, 41 (4): 1150-1158. )

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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