A practical evaluation of a data consistency protocol for efficient visualization in grid applications

Gabriel Antoniu 1 Loïc Cudennec 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 : Data visualization is important in the context of grid applications, especially when successive refinements are iteratively realized based on intermediate results. We mainly focus on code coupling grid applications, structured as a set of distributed, autonomous, weakly-coupled codes. We consider the case where the codes are able to interact using the abstraction of a shared data space. In previous work, we have proposed an efficient visualization scheme by introducing a new operation called relaxed read, as an extension to the entry consistency model. This operation can efficiently take place without locking, in parallel with write operations. On the other hand, the user has to relax the consistency constraints, and accept slightly older versions of the data, whose ''freshness'' can however still be controlled. In this paper, we discuss and extensively evaluate the proposed consistency protocol, whose efficiency is clearly demonstrated by our experimental results.
Type de document :
Communication dans un congrès
International Workshop on High-Performance Data Management in Grid Environment (HPDGrid 2006), Jul 2006, Rio de Janeiro, Brazil, Brazil. 2006
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https://hal.inria.fr/inria-00001194
Contributeur : Sébastien Monnet <>
Soumis le : mardi 27 juin 2006 - 00:25:35
Dernière modification le : jeudi 9 février 2017 - 15:26:07
Document(s) archivé(s) le : samedi 3 avril 2010 - 23:06:36

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  • HAL Id : inria-00001194, version 1

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Gabriel Antoniu, Loïc Cudennec, Sébastien Monnet. A practical evaluation of a data consistency protocol for efficient visualization in grid applications. International Workshop on High-Performance Data Management in Grid Environment (HPDGrid 2006), Jul 2006, Rio de Janeiro, Brazil, Brazil. 2006. <inria-00001194>

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