A Survey on Multi-Access Edge Computing Applied to Video Streaming: Some Research Issues and Challenges
Driven by the quality of experience (QoE) requirement of video streaming applications in the smart city, smart education, immersive service, and connected vehicle scenarios, the existing network poses significant challenges, including ultra-high bandwidth, ultra-large storage, and ultra-low latency...
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Published in | IEEE Communications surveys and tutorials Vol. 23; no. 2; pp. 871 - 903 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
IEEE
01.01.2021
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Subjects | |
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Abstract | Driven by the quality of experience (QoE) requirement of video streaming applications in the smart city, smart education, immersive service, and connected vehicle scenarios, the existing network poses significant challenges, including ultra-high bandwidth, ultra-large storage, and ultra-low latency requirements, etc. Multi-access edge computing (MEC) is a potential technology, which can provide computation-intensive and caching-intensive services for video streaming applications to satisfy the requirement of QoE. Thus, focusing on video streaming schemes, a comprehensive summary of the state of the art applying MEC to video streaming is surveyed. Firstly, the related overview and background knowledge are reviewed. Secondly, resource allocation issues have been discussed. Thirdly, the enabling technologies for video streaming are summarized by taking account of caching, computing, and networking. Then, a taxonomy of MEC enabled video streaming applications is classified. Finally, challenges and future research directions are given. |
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AbstractList | Driven by the quality of experience (QoE) requirement of video streaming applications in the smart city, smart education, immersive service, and connected vehicle scenarios, the existing network poses significant challenges, including ultra-high bandwidth, ultra-large storage, and ultra-low latency requirements, etc. Multi-access edge computing (MEC) is a potential technology, which can provide computation-intensive and caching-intensive services for video streaming applications to satisfy the requirement of QoE. Thus, focusing on video streaming schemes, a comprehensive summary of the state of the art applying MEC to video streaming is surveyed. Firstly, the related overview and background knowledge are reviewed. Secondly, resource allocation issues have been discussed. Thirdly, the enabling technologies for video streaming are summarized by taking account of caching, computing, and networking. Then, a taxonomy of MEC enabled video streaming applications is classified. Finally, challenges and future research directions are given. |
Author | Leung, Victor C. M. Jiang, Xiantao Song, Tian Yu, F. Richard |
Author_xml | – sequence: 1 givenname: Xiantao orcidid: 0000-0002-2226-482X surname: Jiang fullname: Jiang, Xiantao email: xtjiang@shmtu.edu.cn organization: Department of Information Engineering, Shanghai Maritime University, Shanghai, China – sequence: 2 givenname: F. Richard orcidid: 0000-0003-1006-7594 surname: Yu fullname: Yu, F. Richard email: richard.yu@carleton.ca organization: Department of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada – sequence: 3 givenname: Tian orcidid: 0000-0003-4017-0074 surname: Song fullname: Song, Tian email: tiansong@ee.tokushima-u.ac.jp organization: Department of Electrical and Electronics Engineering, Tokushima University, Tokushima, Japan – sequence: 4 givenname: Victor C. M. orcidid: 0000-0003-3529-2640 surname: Leung fullname: Leung, Victor C. M. email: vleung@ece.ubc.ca organization: Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada |
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SubjectTerms | Bandwidth blockchain caching Computer architecture Edge computing Multi-access edge computing QoE Quality of experience resource allocation Resource management Smart cities Streaming media video streaming |
Title | A Survey on Multi-Access Edge Computing Applied to Video Streaming: Some Research Issues and Challenges |
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