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Large-scale Deployment in P2P Experiments Using the JXTA Distributed Framework

Mathieu Jan 1 Gabriel Antoniu 1 Luc Bougé 1 Sébastien Monnet 1
1 PARIS - Programming distributed parallel systems for large scale numerical simulation
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, ENS Cachan - École normale supérieure - Cachan, Inria Rennes – Bretagne Atlantique
Abstract : The interesting properties of P2P systems (high availability despite peer volatility, support for heterogeneous architectures, high scalability, etc.) make them attractive for distributed computing. However, conducting large-scale experiments with these systems arises as a major challenge. Simulation allows only to partially model the behavior of P2P prototypes. Experiments on real testbeds encounter serious difficulty with large-scale deployment and control} of peers. This paper shows how an optimized version of the JXTA Distributed Framework (JDF) can help deploying, configuring and controlling P2P experiments. We report on our experience in the context of our JuxMem JXTA-based grid data sharing service for various configurations.
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https://hal.inria.fr/inria-00000977
Contributor : Mathieu Jan <>
Submitted on : Monday, January 9, 2006 - 5:45:38 PM
Last modification on : Monday, February 15, 2021 - 10:42:49 AM
Long-term archiving on: : Saturday, April 3, 2010 - 9:02:03 PM

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  • HAL Id : inria-00000977, version 1

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Mathieu Jan, Gabriel Antoniu, Luc Bougé, Sébastien Monnet. Large-scale Deployment in P2P Experiments Using the JXTA Distributed Framework. Euro-Par 2004: Parallel Processing, Aug 2004, Pisa, Italy, Italy. pp.1038-1047. ⟨inria-00000977⟩

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