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Sixth IEEE International Conference on Peer-to-Peer Computing (P2P'06)
Implicit Group Messaging over Peer-to-Peer Networks
Cambridge, United Kingdom
September 06-June 08
ISBN: 0-7695-2679-9
Daniel Cutting, University of Sydney, Australia
Bjorn Landfeldt, University of Sydney, Australia
Aaron Quigley, University College Dublin, Ireland
We propose a decoupled distribution paradigm for connecting large numbers of content publishers and consumers called Implicit Group Messaging (IGM). Unlike traditional multicast or publish/subscribe messaging, IGM delivers content to "implicit groups" of consumers matching combinations of attributes specified by the publisher at the time of publication. The contributions of this paper include a characterisation of IGM encompassing the types of groups that must be supported, and an innovative distributed P2P implementation that we compare via simulation to a functionally equivalent client/server approach. Our results show the P2P model to efficiently support a range of implicit groups with acceptable delivery times and vastly less maximum peer and link stress than a client/server approach.
Citation:
Daniel Cutting, Bjorn Landfeldt, Aaron Quigley, "Implicit Group Messaging over Peer-to-Peer Networks," p2p, pp.125-132, Sixth IEEE International Conference on Peer-to-Peer Computing (P2P'06), 2006
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