Dependency-Aware Caching for HTTP Adaptive Streaming

Zhang, CongSimon Fraser Univ, Sch Comp Sci, Burnaby, BC V5A 1S6, Canada. (author)

There has been significant interest in the use of HTTP adaptive streaming for live or on-demand video over the Internet in recent years. To mitigate the streaming transmission delay and reduce the networking overhead, an effective and critical approach is to utilize cache servers between the origin servers and the heterogeneous clients. As the underlying protocol for web transactions, HTTP has great potentials to explore the resources within state-of-the-art CDNs tor caching; yet distinct challenges arise in the HTTP adaptive streaming context. After examining a long-term and large-scale adaptive streaming dataset as well as statistical analysis, we demonstrate that the switching requests among the different qualities frequently emerge and constitute a significant portion in a per-day view. Consequently, they have substantially affected the performance of cache servers and Quality-of-Experience (QoE) of viewers. In this paper, we propose a novel cache model that captures the dependency among the segments in the cache server for adaptive HTTP streaming. Our work does not assume any specific selection algorithm on the client's side and hence can be easily incorporated into existing streaming cache system. Its centralized nature is also well accommodated by the latest DASH specification. The performance evaluation shows our dependency-aware strategy can significantly improved the cache hit-ratio and QoE of HTTP streaming as compared to previous methods.

Liu, JiangchuanSimon Fraser Univ, Sch Comp Sci, Burnaby, BC V5A 1S6, Canada. (author)
Chen, FeiJiangnan Univ, Sch Digital Media, Wuxi, Peoples R China. (author)
Cui, YongTsinghua Univ, Dept Comp Sci, Beijing, Peoples R China. (author)
Ngai, Edith C.-H.Uppsala universitet,Datorteknik(Swepub:uu)eding810 (author)
Simon Fraser Univ, Sch Comp Sci, Burnaby, BC V5A 1S6, Canada.Jiangnan Univ, Sch Digital Media, Wuxi, Peoples R China. (creator_code:org_t)

In:2016 Digital Media Industry And Academic Forum (DMIAF), s. 89-939781509010004

By the author/editor: Zhang, Cong; Liu, Jiangchuan; Chen, Fei; Cui, Yong; Ngai, Edith C.-H ...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Computer Enginee ...

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