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JuxMem : Weaving together the P2P and DSM paradigms to enable a Grid Data-sharing Service

Gabriel Antoniu 1 Luc Bougé 1 Mathieu Jan 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 : Although P2P systems and DSM systems have been designed in rather different contexts, both can be usefully woven together in the specific context of Grid computing. In this paper, we address the design of such a hybrid Grid Data-sharing Service, with intermediate hypotheses and properties. This service decouples data management from grid computation, by providing location transparency as well as data persistence in a fully dynamic environment. We illustrate the proposed concept and demonstrate its feasibility by reporting on a software prototype called the JuxMem platform.
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Submitted on : Tuesday, May 23, 2006 - 5:47:08 PM
Last modification on : Friday, February 4, 2022 - 3:21:43 AM
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  • HAL Id : inria-00071501, version 1


Gabriel Antoniu, Luc Bougé, Mathieu Jan. JuxMem : Weaving together the P2P and DSM paradigms to enable a Grid Data-sharing Service. [Research Report] RR-5082, INRIA. 2004. ⟨inria-00071501⟩



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