Waterfall: Video distribution by cascading multiple swarms

Kunwoo Park, Junghoon Kim, Kideok Cho, Ted Taekyoung Kwon, Yanghee Choi, Sangheon Pack

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Video on demand services have been increasingly proliferated in the Internet. One popular way to disseminate video files among numerous users is to leverage peer-to-peer (P2P) systems (e.g., BitTorrent). However, BitTorrent is not designed with video streaming requirements and hence suffers from long setup delay. In this paper, the drawbacks of existing P2P-based streaming solutions are analyzed in terms of sequential delivery. Then we propose Waterfall that splits the whole swarm into multiple swarms, which are then cascaded by the scene sequence. In this way, peers in a swarm download the chunks of the same video scene from the peers in the same swarm as well as the ones in the preceding swarm that already moved on to the next scene. The average setup delay and maximum playback rate of Waterfall are analyzed. Experiments from a wide area network testbed reveal that Waterfall achieves two to three times higher playback rate and significantly low setup delay than the prior BitTorrent-based streaming solutions.

Original languageEnglish
Article number6560463
Pages (from-to)165-174
Number of pages10
JournalIEEE Journal on Selected Areas in Communications
Volume31
Issue number9
DOIs
Publication statusPublished - 2013 Sep 9

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Keywords

  • BitTorrent
  • P2P
  • playback rate
  • Swarm
  • Video streaming

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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