Hierarchically clustered P2P streaming system

Chao Liang, Yang Guo, Yong Liu

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


Peer-to-peer video streaming has been gaining popularity. However, it is still challenging to manage a P2P system efficiently to support high video playback rate. In this paper, we propose HCPS - Hierarchically Clustered P2P Streaming system that can support a streaming rate approaching the optimum upper bound with short delay, yet is simple enough to be implemented in practice. In HCPS, the peers are grouped into clusters and a hierarchy is formed among clusters to retrieve video data from the source server. By actively balancing the uploading capacities among clusters, and executing the perfect scheduling algorithm [1] within each cluster, the system resource can be fully utilized. The simulation experiments driven by the traces collected from a real P2P streaming system demonstrate the effectiveness of HCPS.

Original languageEnglish (US)
Title of host publicationIEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings
Number of pages6
StatePublished - 2007
Event50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007 - Washington, DC, United States
Duration: Nov 26 2007Nov 30 2007

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference


Other50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007
Country/TerritoryUnited States
CityWashington, DC

ASJC Scopus subject areas

  • General Engineering


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