Statistical modeling and analysis of P2P replication to support VoD service

Yipeng Zhou, Tom Z. J. Fu, Dah Ming Chiu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

46 Citations (Scopus)


Traditional Video-on-Demand (VoD) systems reply purely on servers to stream video content to clients, which does not scale. In recent years, Peer-to-peer assisted VoD (P2P VoD) has proven to be practical and effective. In P2P VoD, each peer contributes some storage to store videos (or segments of videos) to help the video server. Assuming peers have sufficient bandwidth for the given video playback rate, a fundamental question is what is the relationship between the storage capacity (at each peer), the number of videos, the number of peers and the resultant off-loading of video server bandwidth. In this paper, we use a simple statistical model to derive this relationship. We propose and analyze a generic replication algorithm RLB which balances the service to all movies, for both deterministic and random demand models, and both homogeneous and heterogeneous peers (in upload bandwidth). We use simulation to validate our results, for sensitivity analysis and for comparisons with other popular replication algorithms. This study leads to several fundamental insights for design P2P VoD systems in practice.
Original languageEnglish
Title of host publication2011 Proceedings IEEE INFOCOM
PublisherIEEE:Institute of Electrical Electronics Engineers Inc
Number of pages9
ISBN (Electronic)9781424499212
Publication statusPublished - 2011
Externally publishedYes
EventIEEE INFOCOM 2011 - Shanghai, China
Duration: 10 Apr 201115 Apr 2011




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