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Employing data driven random membership subset algorithm for qos-aware peer-to-peer streaming

  • Huang Yongxiang*
  • , Qian Depei
  • , Wu Weiguo
  • , Zhao Haixiang
  • *Corresponding author for this work
  • Xi'an Jiaotong University

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

Abstract

Peer-to-peer (P2P) applications such as media broadcasting and content distribution often require that an overlay be constructed, and that some form of node selection take place over that overlay. Previous approaches to building such overlays focused mainly on high performance (leading to a rather brittle network of connections), or robustness (leading to low performance). In this paper, we present a data driven random membership (DDRM) algorithm, which tries to find a balance between the two, selecting peers for performance when needed, and at random (for robustness) if possible. The simulation experiment results show that the algorithm is not only QoS-Aware, but also ensures the scalability and good connectivity of the overlay.

Original languageEnglish
Title of host publicationFuture Multimedia Networking - Second International Workshop, FMN 2009, Proceedings
Pages83-94
Number of pages12
DOIs
StatePublished - 2009
Event2nd International Workshop on Future Multimedia Networking, FMN 2009 - Coimbra, Portugal
Duration: 22 Jun 200923 Jun 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5630 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2nd International Workshop on Future Multimedia Networking, FMN 2009
Country/TerritoryPortugal
CityCoimbra
Period22/06/0923/06/09

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