A demand-aware grouping scheme for VoD service in peer to peer environment

Po Ying Liao, Yen Wen Chen

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

Abstract

This paper proposes a heuristic approach to group the peer to peer (P2P) users for sharing the video on demand (VoD) programs in an efficient way. The underlined grouping scheme characterizes the demand behavior to group correlated users into VoD sharing group so that the transmission efficiency can be improved when compared with that without grouping scheme. As the user connectivity and playing behavior in P2P environment vary from time to time, the VoD sharing groups shall be dynamically adjusted. In order to maximize the grouping effectiveness, the compensation factor is proposed as a heuristic indicator to judge whether a peer is valuable to be grouped together or not. And the compensation factor is measured in chunk area, which is composed of consecutive chunks, to minimize the processing complexity. Experimental simulations were performed to evaluate the performance of peers requesting desired position of the content by using the proposed scheme. Compared with the ungrouped P2P environment, the simulation results illustrate that the proposed grouping scheme can effectively increase the high content penetration rate of a movie so that the on demand process of a specific movie can be achieved within the same group .

Original languageEnglish
Title of host publicationI-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks
Pages480-484
Number of pages5
DOIs
StatePublished - 2009
Event10th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2009 - Kaohsiung, Taiwan
Duration: 14 Dec 200916 Dec 2009

Publication series

NameI-SPAN 2009 - The 10th International Symposium on Pervasive Systems, Algorithms, and Networks

Conference

Conference10th International Symposium on Pervasive Systems, Algorithms, and Networks, I-SPAN 2009
Country/TerritoryTaiwan
CityKaohsiung
Period14/12/0916/12/09

Keywords

  • Peer to peer
  • Resource utilization
  • Streaming
  • Video on demand

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