An adaptive scheduling algorithm for scalable peer-to-peer streaming

Longzhe Han, Hoh Peter In

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

1 Citation (Scopus)

Abstract

Because of high scalability and low cost, Peer-to-Peer (P2P) video streaming has been the promising and interesting approach for delivering multimedia content over the Internet. However very different capabilities of end users' systems, unpredictable network bandwidth and the rigorous nature of the video streaming impose design challenges on P2P streaming systems. In this paper, an adaptive scheduling algorithm has been proposed to overcome these limitations. This algorithm is based on H.264 Scalable Video Coding (H.264/SVC) and P2P paradigm to provide scalable video streaming services for heterogeneous users and self-adapt the dynamic network environment.

Original languageEnglish
Title of host publicationComputers,Networks, Systems, and Industrial Engineering 2011
EditorsRoger Lee, Yung-Cheol Byun, Kiumi Akingbehin
Pages193-200
Number of pages8
DOIs
Publication statusPublished - 2011

Publication series

NameStudies in Computational Intelligence
Volume365
ISSN (Print)1860-949X

ASJC Scopus subject areas

  • Artificial Intelligence

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  • Cite this

    Han, L., & In, H. P. (2011). An adaptive scheduling algorithm for scalable peer-to-peer streaming. In R. Lee, Y-C. Byun, & K. Akingbehin (Eds.), Computers,Networks, Systems, and Industrial Engineering 2011 (pp. 193-200). (Studies in Computational Intelligence; Vol. 365). https://doi.org/10.1007/978-3-642-21375-5_16