Understanding sub-stream scheduling in P2P hybrid live streaming systems

Zhenjiang Li, Danny H.K. Tsang, Wang Chien Lee

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

4 Scopus citations

Abstract

The P2P pull-push hybrid architecture has achieved great success in delivering live video traffic over the Internet. However, a formal study on the sub-stream scheduling problem, a key design issue in hybrid systems, is still lacking. In this paper, we propose a max-flow model for mathematical analysis of this problem. We find that the sub-stream scheduling schemes used in existing hybrid systems, including CoolStreaming+, GridMedia and LStreaming, individually solve one special case of the proposed max-flow model. Moreover, this model can also serve as a benchmark to assess the performance of these existing sub-stream scheduling schemes. Further, we propose a weighted max-flow scheme to address the issue of peer heterogeneity in scheduling sub-streams. Finally, we point out the benefits of combining the hybrid streaming architecture and layered coding, and we also investigate how to schedule sub-streams in hybrid layered streaming systems.

Original languageEnglish (US)
Title of host publication2010 Proceedings IEEE INFOCOM
DOIs
StatePublished - Jun 15 2010
EventIEEE INFOCOM 2010 - San Diego, CA, United States
Duration: Mar 14 2010Mar 19 2010

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

OtherIEEE INFOCOM 2010
CountryUnited States
CitySan Diego, CA
Period3/14/103/19/10

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Electrical and Electronic Engineering

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  • Cite this

    Li, Z., Tsang, D. H. K., & Lee, W. C. (2010). Understanding sub-stream scheduling in P2P hybrid live streaming systems. In 2010 Proceedings IEEE INFOCOM [5462227] (Proceedings - IEEE INFOCOM). https://doi.org/10.1109/INFCOM.2010.5462227