A Survey on Multi-Access Edge Computing Applied to Video Streaming: Some Research Issues and Challenges

【Author】 Jiang, Xiantao; Yu, F. Richard; Song, Tian; Leung, Victor C. M.

【Source】IEEE COMMUNICATIONS SURVEYS AND TUTORIALS

【影响因子】33.840

【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.

【Keywords】Streaming media; Resource management; Edge computing; Quality of experience; Computer architecture; Bandwidth; Smart cities; Multi-access edge computing; video streaming; resource allocation; QoE; caching; blockchain

【发表时间】2021

【收录时间】2022-01-02

【文献类型】综述

【主题类别】

区块链技术-协同技术-边缘计算