Fine-Grained Scalable Video Caching

Qiushi Gong, John W. Woods, Koushik Kar, Jacob Chakareski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


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.

Original languageEnglish (US)
Title of host publicationProceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781509003792
StatePublished - Mar 25 2016
Externally publishedYes
Event17th IEEE International Symposium on Multimedia, ISM 2015 - Miami, United States
Duration: Dec 14 2015Dec 16 2015

Publication series

NameProceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015


Conference17th IEEE International Symposium on Multimedia, ISM 2015
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Hardware and Architecture
  • Software
  • Computer Networks and Communications


  • Caching systems
  • Fine-grained scalable video
  • Network coding


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