Peer-to-Peer Computing, IEEE International Conference on (2006)
Cambridge, United Kingdom
Sept. 6, 2006 to June 8, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/P2P.2006.20
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.
A. Quigley, B. Landfeldt and D. Cutting, "Implicit Group Messaging over Peer-to-Peer Networks," 2006 6th IEEE International Conference on Peer-to-Peer Computing(P2P), Cambridge, 2006, pp. 125-132.