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Fault-Tolerant Data Sharing for High-level Grid Programming: A Hierarchical Storage Architecture

Marco Aldinucci 1 Gabriel Antoniu 2 Marco Danelutto 1 Mathieu Jan 2 
2 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 : Enabling high-level programming models on grids is today a major challenge. A way to achieve this goal relies on the use of environments able to transparently and automatically provide adequate support for low-level, grid-specific issues (fault tolerance, scalability, etc.). This paper discusses the above approach when applied to grid data management. As a case study, we propose a 2-tier software architecture that supports transparent, fault-tolerant, grid-level data sharing in the ASSIST programming environment (University of Pisa), based on the JuxMem grid data sharing service (INRIA Rennes).
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Submitted on : Sunday, January 17, 2010 - 12:21:10 AM
Last modification on : Friday, February 4, 2022 - 3:23:21 AM
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  • HAL Id : inria-00447933, version 1


Marco Aldinucci, Gabriel Antoniu, Marco Danelutto, Mathieu Jan. Fault-Tolerant Data Sharing for High-level Grid Programming: A Hierarchical Storage Architecture. Proc. of the Integrated Research in Grid Computing Workshop, 2006, Krakow, Poland. pp.177--188. ⟨inria-00447933⟩



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