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).
Type de document :
Communication dans un congrès
Bubak, Marian and Gorlatch, Sergei and Priol, Thierry. Proc. of the Integrated Research in Grid Computing Workshop, 2006, Krakow, Poland. Academic Computing Centre CYFRONET AGH, pp.177--188, 2006
Liste complète des métadonnées

Littérature citée [15 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00447933
Contributeur : Gabriel Antoniu <>
Soumis le : dimanche 17 janvier 2010 - 00:21:10
Dernière modification le : mercredi 11 avril 2018 - 01:57:14
Document(s) archivé(s) le : jeudi 18 octobre 2012 - 12:40:29

Fichier

2006_IW_juxadhocmem.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00447933, version 1

Citation

Marco Aldinucci, Gabriel Antoniu, Marco Danelutto, Mathieu Jan. Fault-Tolerant Data Sharing for High-level Grid Programming: A Hierarchical Storage Architecture. Bubak, Marian and Gorlatch, Sergei and Priol, Thierry. Proc. of the Integrated Research in Grid Computing Workshop, 2006, Krakow, Poland. Academic Computing Centre CYFRONET AGH, pp.177--188, 2006. 〈inria-00447933〉

Partager

Métriques

Consultations de la notice

233

Téléchargements de fichiers

114