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.

中文翻译：

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多访问边缘计算在视频流中的应用研究：一些研究问题和挑战

在智能城市，智能教育，沉浸式服务和互联车辆场景中，受视频流应用程序的体验质量（QoE）要求的驱动，现有网络面临着巨大的挑战，包括超高带宽，超大型存储和超宽带。 -低延迟要求等。多访问边缘计算（MEC）是一种潜在的技术，可以为视频流应用程序提供计算密集型和缓存密集型服务，以满足QoE的要求。因此，着眼于视频流传输方案，对将MEC应用于视频流传输的现有技术进行了全面总结。首先，回顾了相关概述和背景知识。其次，讨论了资源分配问题。第三，通过考虑缓存，计算和网络，总结了视频流的支持技术。然后，对启用了MEC的视频流应用程序进行分类。最后，给出了挑战和未来的研究方向。