Simulating and optimizing a peer-to-peer computing framework

  • Authors:
  • Jean-Baptiste Ernst-Desmulier;Julien Bourgeois;Minh Thanh Ngo;François Spies;Jérome Verbeke

  • Affiliations:
  • Laboratoire d'Informatique de Franche-Comté, University of Franche-Comte, Montbéliard, France;Laboratoire d'Informatique de Franche-Comté, University of Franche-Comte, Montbéliard, France;Laboratoire d'Informatique de Franche-Comté, University of Franche-Comte, Montbéliard, France;Laboratoire d'Informatique de Franche-Comté, University of Franche-Comte, Montbéliard, France;Lawrence Livermore National Laboratory, Livermore, CA

  • Venue:
  • IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
  • Year:
  • 2006

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Abstract

The aim of P2P computing is to build virtual computing systems dedicated to large-scale computational problems. JXTA proposes an underlying infrastructure on which JNGI, one of the first P2P decentralized computing frameworks is built. In order to test this framework, we have built a tool named P2PPerf, which allows us to study the behavior of JNGI and to optimize it according to our simulation results.