Abstract
Edge caching has been widely recognized as a key technology for multimedia services. However, the storage resource of the edge servers are severely restricted compared to the cloud servers, therefore we aim to design and implement an efficient video caching scheme while considering the limited storage resource of edge servers. Firstly, we propose an edge caching scheme to cache videos at the edge servers based on Adaptive Bitrate (ABR) Streaming, where we cache the representations of the most popular video chunks and the metadata of the less popular video chunks. Secondly, we use Docker to deploy the proposed caching scheme as an application at the edge server, which can dynamically determine whether the video chunk is cached with its representations or metadata. Finally, experimental results show that the proposed scheme can effectively utilize the idle computing resource at the edge to respond to the most video requests of the most users.
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