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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Bibliographic Details
Published inIEEE Communications surveys and tutorials Vol. 23; no. 2; pp. 871 - 903
Main Authors Jiang, Xiantao, Yu, F. Richard, Song, Tian, Leung, Victor C. M.
Format Journal Article
LanguageEnglish
Published IEEE 01.01.2021
Subjects
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
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Summary: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.
ISSN:2373-745X
DOI:10.1109/COMST.2021.3065237