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JuxMem: An Adaptive Supportive Platform for Data Sharing on the Grid

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 : We address the challenge of managing large amounts of numerical data within computing grids consisting of a federation of clusters. We claim that storing, accessing, updating and sharing such data should be considered by applications as an external service. We propose a hierarchical architecture for this service, based on a peer-to-peer approach. This architecture is illustrated through a software platform called JuxMem (for Juxtaposed Memory), which provides transparent access to mutable data, while enhancing data persistence in a dynamic environment. Managing the volatility of storage resources is specially emphasized. As a proof of concept, we describe a prototype implementation on top of the JXTA peer-to-peer framework, and we report on a preliminary experimental evaluation.
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Submitted on : Tuesday, May 23, 2006 - 6:26:22 PM
Last modification on : Friday, February 4, 2022 - 3:24:38 AM
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  • HAL Id : inria-00071662, version 1


Gabriel Antoniu, Luc Bougé, Mathieu Jan. JuxMem: An Adaptive Supportive Platform for Data Sharing on the Grid. [Research Report] RR-4917, INRIA. 2003. ⟨inria-00071662⟩



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