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Journals ACM SIGMETRICS Performance Evaluation Review Volume 37 Issue 2

Many Peer-to-Peer (P2P) systems rely on cooperation among nodes that should be supported with incentives. Introducing ranks into P2P designs could reward cooperating nodes and increase overall system performance. In this paper, we consider the problem of P2P ranking. In a P2P resource sharing system (RSS), the ranks allow a node to decide which sources to keep locally, which external resources to download and through which nodes, what control to apply for transit resource requests, and how much quality of service (QoS) to provide. We introduce a mathematical model for local P2P resource ranking that optimizes these decisions. Complete proofs can be found in our technical report.

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A local equilibrium model for P2P resource ranking

Korzun, Dmitry; Gurtov, Andrei
ACM SIGMETRICS Performance Evaluation Review , Volume 37 (2)
Association for Computing Machinery – Oct 16, 2009

More Info
  • Publisher Association for Computing Machinery
  • Copyright The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc.
  • Subject Data communications
  • ISSN 0163-5999
  • D.O.I. 10.1145/1639562.1639572
  • Publisher site Get PDF  

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