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Journal Articles Concurrency and Computation: Practice and Experience Year : 2006

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

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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Dates and versions

inria-00000987 , version 1 (10-01-2006)
inria-00000987 , version 2 (11-01-2006)

Identifiers

  • HAL Id : inria-00000987 , version 2

Cite

Gabriel Antoniu, Jean-François Deverge, Sébastien Monnet. How to bring together fault tolerance and data consistency to enable grid data sharing. Concurrency and Computation: Practice and Experience, 2006, Concurrency and Computation: Practice and Experience, 17, pp.1-19. ⟨inria-00000987v2⟩
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