Algorithm Research & Explore
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818-823

Resource allocation strategy for mobile edge computing based on cache optimization

Si Qiangyi1
Chen Yipeng2
Yang Zhe2
1. Information Construction & Management Center, Suzhou City University, Suzhou Jiangsu 215104, China
2. School of Computer Science & Technology, Soochow University, Suzhou Jiangsu 215006, China

Abstract

In mobile edge computing research, the edge server can effectively save computing resources by caching task data. But how to allocate cache resources to solve the competitive relationship between edge servers, as well as energy consumption and efficiency issues, and achieve optimal system performance is a NP-hard problem. Therefore, this paper proposed an online potential-game resource allocation strategy OPSCO based on cache optimization, using a new cache replacement strategy CASCU to maximize the utility of the cache. By optimizing the efficiency indicator function of edge servers, combining factors such as cache replacement cost with Lyapunov optimization, potential game, and EWA algorithm, it modeled the competitive relationship of edge servers, and conducted potential game related proofs and analyses. The simulation results show that compared with other resource allocation strategies, OPSCO can significantly improve the task completion rate and cache utility, reduce equipment energy consumption and time overhead, and solve the resource allocation and data cache problems in mobile edge computing online cache scenarios.

Foundation Support

国家自然科学基金资助项目(62072321)
江苏省高校自然科学基金资助项目(20KJB520002)
江苏省未来网络科研基金资助项目(FNSRFP-2021-YB-38)
江苏高校优势学科建设工程资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2023.07.0325
Publish at: Application Research of Computers Printed Article, Vol. 41, 2024 No. 3
Section: Algorithm Research & Explore
Pages: 818-823
Serial Number: 1001-3695(2024)03-025-0818-06

Publish History

[2023-10-31] Accepted Paper
[2024-03-05] Printed Article

Cite This Article

司强毅, 陈祎鹏, 杨哲. 基于缓存优化的移动边缘计算资源分配策略 [J]. 计算机应用研究, 2024, 41 (3): 818-823. (Si Qiangyi, Chen Yipeng, Yang Zhe. Resource allocation strategy for mobile edge computing based on cache optimization [J]. Application Research of Computers, 2024, 41 (3): 818-823. )

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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