A distributed constraint optimization solution to the P2P video streaming problem

Theodore Elhourani, Nathan Denny, Michael Marefat

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

Abstract

The future success of application layer video multicast depends on the availability of video stream distribution methods that can scale in the number of stream senders and receivers. Previous work on the problem of application layer video streaming has not effectively addressed scalability in the number of receivers and senders. Therefore, new solutions that are amenable to analysis and can achieve scalable P2P video streaming are needed. In this work we propose the use of automated negotiation algorithms to construct video streaming trees at the application layer. We show that automated negotiation can effectively solve the problem of distributing a video stream to a large number of receivers.

Original languageEnglish (US)
Title of host publicationAAAI-07/IAAI-07 Proceedings
Subtitle of host publication22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
Pages1347-1352
Number of pages6
StatePublished - 2007
EventAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference - Vancouver, BC, Canada
Duration: Jul 22 2007Jul 26 2007

Publication series

NameProceedings of the National Conference on Artificial Intelligence
Volume2

Other

OtherAAAI-07/IAAI-07 Proceedings: 22nd AAAI Conference on Artificial Intelligence and the 19th Innovative Applications of Artificial Intelligence Conference
Country/TerritoryCanada
CityVancouver, BC
Period7/22/077/26/07

ASJC Scopus subject areas

  • Software
  • Artificial Intelligence

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