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Telang R. Interest-Based self-organizing peer-to-peer networks: A club economics approach

By Atip Asvanund, Ramayya Krishnan, Michael D. Smith and Rahul Telang


Improving the information retrieval (IR) performance of P2P networks is an important and challenging problem. Recently, the computer science literature has tried to address this problem by improving the efficiency of search algorithms. However, little attention has been paid to improving performance through the design of incentives for encouraging users to “share ” content and, mechanisms for enabling peers to form “communities ” based on shared interests. Our work draws on the club goods economics literature and the computer science IR literature to propose a next generation file sharing architecture addressing these issues. Using the popular Gnutella 0.6 architecture as context, we conceptualize a Gnutella ultrapeer and its local network of leaf nodes as a “club ” (in economic terms). We specify an IR-based utility model for a peer to determine which clubs to join, for a club to manage its membership, and for a club to determine to which other clubs they should connect. We simulate the performance of our model using a unique real-world dataset collected from the Gnutella 0.6 network. These simulations show that our club model accomplishes both performance goals. First, peers are self-organized into communities of interest — in our club mode

Year: 2003
OAI identifier: oai:CiteSeerX.psu:
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