@inproceedings{d31bf8d5f8d54b40bc1efb08c5396535,
title = "Fine-Grained Scalable Video Caching",
abstract = "Caching has been shown to enhance network performance. In this paper, we study fine-grain scalable video caching. We start from a single cache scenario by providing a solution to the caching allocation problem that optimizes the average expected video quality for the most popular video clips. Actual trace data is applied to verify the performance of our algorithm and compare its backhaul link bandwidth consumption relative to non-scalable video caching. In addition, we extend our analysis to collaborative caching and integrate network coding for further transmission efficiency. Our experimental results demonstrate considerable performance enhancement.",
keywords = "Caching systems, Fine-grained scalable video, Network coding",
author = "Qiushi Gong and Woods, {John W.} and Koushik Kar and Jacob Chakareski",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 17th IEEE International Symposium on Multimedia, ISM 2015 ; Conference date: 14-12-2015 Through 16-12-2015",
year = "2016",
month = mar,
day = "25",
doi = "10.1109/ISM.2015.81",
language = "English (US)",
series = "Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "101--106",
booktitle = "Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015",
address = "United States",
}