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How to bring together fault tolerance and data consistency to enable grid data sharing

Gabriel Antoniu 1 Jean-François Deverge 2 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
2 CAPS - Compilation, parallel architectures and system
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : This paper addresses the challenge of transparent data sharing within computing grids built as cluster federations. On such platforms, the availability of storage resources may change in a dynamic way, often due to hardware failures. We focus on the problem of handling the consistency of replicated data in the presence of failures. We propose a software architecture which decouples consistency management from fault tolerance management. We illustrate this architecture with a case study showing how to design a consistency protocol using fault-tolerant building blocks. As a proof of concept, we describe a prototype implementation of this protocol within JuxMem , a software experimental platform for grid data sharing, and we report on a preliminary experimental evaluation of the proposed approach.
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https://hal.inria.fr/inria-00070540
Contributor : Rapport de Recherche Inria <>
Submitted on : Friday, May 19, 2006 - 8:48:44 PM
Last modification on : Monday, February 15, 2021 - 10:42:41 AM
Long-term archiving on: : Sunday, April 4, 2010 - 9:26:11 PM

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  • HAL Id : inria-00070540, version 1

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Gabriel Antoniu, Jean-François Deverge, Sébastien Monnet. How to bring together fault tolerance and data consistency to enable grid data sharing. [Research Report] RR-5467, INRIA. 2005, pp.32. ⟨inria-00070540⟩

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