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A Gossip-based Membership Management Algorithm for Large-Scale Peer-to-Peer Media Streaming
Sydney, Australia November 15-November 17
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/LCN.2005.7The IEEE Conference on Local Computer ...
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Bin Rong, RMIT University, Australia
Ibrahim Khalil, RMIT University, Australia
Zahir Tari, RMIT University, Australia

A new adaptive gossip-based membership management algorithm is proposed. Its adaptive nature enables it to con- fine the control overhead to local ranges, and adapt to the ever-changing network traffic conditions and group membership. The random nature of the algorithm ensures that it can cope with random failures and offer proactive measures to maintain service at a certain level. Mathematical analysis and simulation results indicate that more than 90% of the nodes can work properly even under very high network dynamics (with a short half-life time of 50 seconds), and all these are achieved by using a relatively low overhead.

Citation:
Bin Rong, Ibrahim Khalil, Zahir Tari, "A Gossip-based Membership Management Algorithm for Large-Scale Peer-to-Peer Media Streaming," lcn, pp.486-487, The IEEE Conference on Local Computer Networks 30th Anniversary (LCN'05)l, 2005
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