Improving caching efficiency and quality of experience with CF-Dash
Abstract
HTTP Adaptive Streaming (HAS) is gradually being adopted by Over The Top (OTT) content providers. In HAS, a wide range of video bitrates of the same video content are made available over the internet so that clients' players pick the video bitrate that best fit their bandwidth. Yet, this affects the performance of some major components of the video de-livery chain, namely CDNs or transparent caches since sev-eral versions of the same content compete to be cached. In this context we investigate the benefits of a Cache Friendly HAS system (CF-DASH), which aims to improve the caching efficiency in mobile networks and to sustain the quality of ex-perience of mobile clients. Firstly, we motivate our work by presenting a set of observations we made on large number of clients requesting HAS contents. Secondly we introduce the CF-Dash system and our testbed implementation. Finally, we evaluate CF-dash based on trace-driven simulations and testbed experiments. Our validation results are promising. Simulations on real HAS traffic show that we achieve a sig-nificant gain in hit-ratio that ranges from 15% up to 50%..
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