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 in:IEEE Communications surveys and tutorials 2021-01, Vol.23 (2), p.871-903
Main Authors: Jiang, Xiantao, Yu, F. Richard, Song, Tian, Leung, Victor C. M.
Format: Article
Language:English
Subjects:
Bandwidth
blockchain
Caching
Computer architecture
Digital media
Edge computing
Mobile computing
Multi-access edge computing
Network latency
QoE
Quality of experience
Resource allocation
Resource management
Smart cities
Streaming media
Taxonomy
Video data
video streaming
Video transmission
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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:1553-877X
2373-745X
DOI:10.1109/COMST.2021.3065237