Accelerating YouTube with video correlation

Xu Cheng, Jiangchuan Liu, Haiyang Wang

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

9 Scopus citations

Abstract

In this paper, using long-term data traces, we present an in-depth measurement study on the characteristics of YouTube, the most successful site providing a new generation of short video sharing service. We find that YouTube videos have noticeable differences compared with traditional videos, making it difficult to use conventional strategies, such as peer-to-peer, to reduce the server workload. However, the video correlation presented in YouTube opens new opportunities. We design a novel peer-to-peer short video sharing system based on video correlation, in which peers are responsible for re-distributing the videos that they have cached. We address a series of key design issues to realize the system, including a novel architecture design, an efficient indexing scheme and a source rate allocation mechanism. We perform extensive simulations, which show that the system greatly reduces the server workload and improves the playback quality.

Original languageEnglish (US)
Title of host publication1st ACM SIGMM International Workshop on Social Media, WSM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
Pages49-56
Number of pages8
DOIs
StatePublished - Dec 22 2009
Event1st ACM SIGMM International Workshop on Social Media, WSM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09 - Beijing, China
Duration: Oct 19 2009Oct 24 2009

Publication series

Name1st ACM SIGMM International Workshop on Social Media, WSM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

Other

Other1st ACM SIGMM International Workshop on Social Media, WSM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09
Country/TerritoryChina
CityBeijing
Period10/19/0910/24/09

Keywords

  • Peer-to-peer
  • Social network
  • Video on demand
  • YouTube

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