- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Knowledge Graph Search feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
A Survey on Multi-Access Edge Computing Applied to Video Streaming: Some Research Issues and Challenges
Description
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.
Journal
-
- IEEE Communications Surveys & Tutorials
-
IEEE Communications Surveys & Tutorials 23 (2), 871-903, 2021
Institute of Electrical and Electronics Engineers (IEEE)
- Tweet
Details 詳細情報について
-
- CRID
- 1360857593787156352
-
- ISSN
- 1553877X
- 2373745X
-
- Article Type
- journal article
-
- Data Source
-
- Crossref
- KAKEN
- OpenAIRE