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An adaptive caching algorithm suitable for time-varying user accesses in VOD systems

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Abstract

With the fast progresses of network technology, Video-On-Demand (VOD) service has found more and more applications. The transmission of multimedia files places heavy burdens on the Internet owing to their large sizes. To resolve this issue, caching servers are deployed at the edge of the Internet to meet most needs of local users by caching some popular videos. This paper provides an approach to choose the cached videos under the time-varying user behavior. Our approach estimates the average access intervals of a video with an Exponential Weighted Moving Average (EWMA) approach and furthermore predicts the video’s future popularity based on its historical access intervals. The forgetting and predicting operations enable the algorithm to not only track the change of the time-varying user accesses, but also reduce the effects of the randomness of a single user access on the caching performance. In addition, we propose a new segmentation approach, which makes the storage granularity independent from the management granularity and can make a better use of the cache space. Simulation results show that our segmentation approach has a higher Byte-Hit Ratio than uniform segmentation and chunk segmentation, and our caching algorithm outperforms Least Recently Used (LRU), Least Frequently Used (LFU) and EWMA.

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Notes

  1. In reality, videos may not have the same length. Then we can first determine a reasonable segment size and partition videos with that given segment size. Of course, different videos may have different numbers of segments. Fortunately, all our approaches are still applicable because the concerned object in the caching procedure is segment, rather than video. Under that situation, m 1 denotes the number of segments of the longest video. In the discussion here and the later simulations, the benefit of the equal length assumption is that we can know the total number of segments is equal to the multiplication of m 1 and the total number of videos.

  2. In that case, we repeat this random choice until a qualified r 2 is obtained.

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Acknowledgments

This work was partially supported by National Natural Science Foundation of China under Grant 61273112, the fund from Young Innovation Promotion Association of CAS and 973 Program under Grant 2013CB733100.

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Authors and Affiliations

  1. Deparment of Automation, University of Science and Technology of China, Hefei, 230027, China

    Qiang Ling, Lixiang Xu, Jinfeng Yan & Yicheng Zhang

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  1. Qiang Ling
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  2. Lixiang Xu
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Correspondence to Qiang Ling.

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Ling, Q., Xu, L., Yan, J. et al. An adaptive caching algorithm suitable for time-varying user accesses in VOD systems. Multimed Tools Appl 74, 11117–11137 (2015). https://doi.org/10.1007/s11042-014-2220-y

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