Implicit Group Messaging over Peer-to-Peer Networks

  • Authors:

  • Daniel Cutting;Bjorn Landfeldt;Aaron Quigley

  • Affiliations:

  • University of Sydney, Australia;University of Sydney, Australia;University College Dublin, Ireland

  • Venue:
  • P2P '06 Proceedings of the Sixth IEEE International Conference on Peer-to-Peer Computing
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.