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Algorithm Research & Explore
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2628-2634

Joint optimization strategy for caching, transcoding and transmission of multi-bitrate video in edge computing

Liu Wei1a,1b,2,3
Chen Zhen1a
1. a. School of Computer Science & Technology, b. Hubei Key Laboratory of Transportation Internet of Things, Wuhan University of Technology, Wuhan 430070, China
2. State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100190, China
3. Key Laboratory of Embedded System & Service Computing for Ministry of Education, Tongji University, Shanghai 201804, China

Abstract

Combining edge caching and adaptive bit rate streaming transmission can effectively improve the quality of video services. In order to reduce the cost of leasing edge resources for video content providers, this paper proposed a joint optimization strategy for video caching, transcoding and transmission. Firstly, considering the cost of video caching, transcoding, edge transmission and cloud transmission, the integer programming model aiming at the smallest total rental cost was formalized, which was proved to be NP-complete. Secondly, the strategy estimated the change in video popularity based on the number of historical requests, and cached popular videos. Finally, based on the video caching status, the strategy chose the lowest cost approach in response to user requests. Simulation results show that compared with the existing strategies, the proposed strategy improves the request hit rate and effectively reduces the leasing cost of resources.

Foundation Support

湖北省自然科学基金面上项目(2020CFB749)
计算机体系结构国家重点实验室开放课题(CARCHB202015)
同济大学嵌入式系统与服务计算教育部重点实验室开放基金资助项目(ESSCKF2018-05)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.02.0026
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Algorithm Research & Explore
Pages: 2628-2634
Serial Number: 1001-3695(2021)09-012-2628-07

Publish History

[2021-09-05] Printed Article

Cite This Article

刘伟, 陈振. 边缘计算中面向多码率视频的缓存、转码和传输联合优化策略 [J]. 计算机应用研究, 2021, 38 (9): 2628-2634. (Liu Wei, Chen Zhen. Joint optimization strategy for caching, transcoding and transmission of multi-bitrate video in edge computing [J]. Application Research of Computers, 2021, 38 (9): 2628-2634. )

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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