Abstract
360-degree video streaming, which offers an immersive viewing experience, is getting more and more popular. However, delivering 360-degree video streams at scale is challenging due to the extremely large video size and the frequent viewport variations. In order to ease the burden on the network and improve the delivered video quality, we present a caching scheme that places the frequently requested contents at the edge. Our scheme achieves this purpose by presenting: (i) an online learning approach to predict video popularity, and (ii) some strategies for allocating cache for videos and tiles. A thorough evaluation shows that the proposed scheme yields significant traffic reduction over other strategies and does improve the quality of the delivered videos.
This work is sponsored by Natural Science Foundation of China (61572280).
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He, D., Jiang, J., Westphal, C., Yang, G. (2020). Efficient Edge Caching for High-Quality 360-Degree Video Delivery. In: Ro, Y., et al. MultiMedia Modeling. MMM 2020. Lecture Notes in Computer Science(), vol 11962. Springer, Cham. https://doi.org/10.1007/978-3-030-37734-2_4
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DOI: https://doi.org/10.1007/978-3-030-37734-2_4
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