Building Hierarchical Grid Storage Using the Gfarm Global File System and the JuxMem Grid Data-Sharing Service

Gabriel Antoniu 1, * Loïc Cudennec 1 Majd Ghareeb 1 Osamu Tatebe 2
* Auteur correspondant
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 CCS - Center for Computational Sciences [Tsukuba]
Abstract : As more and more large-scale applications need to generate and process very large volumes of data, the need for adequate storage facilities is growing. It becomes crucial to efficiently and reliably store and retrieve large sets of data that may be shared at the global scale. Based on previous systems for global data sharing (global file systems, grid data-sharing services), this paper proposes a hierarchical approach for grid storage, which combines the access efficiency of RAM storage with the scalability and persistence of the global file system approach. Our proposal has been validated through a prototype that couples the Gfarm file system with the JuxMem data-sharing service. Experiments on the Grid'5000 testbed confirm the advantages of our approach.
Type de document :
Communication dans un congrès
Emilio Luque and Tomàs Margalef and Domingo Benítez. 14th International Euro-Par Conference, Aug 2008, Las Palmas de Gran Canaria, Spain. Springer, LNCS 5168, pp.456-465, 2008, Euro-Par 2008 Parallel Processing
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Contributeur : Loïc Cudennec <>
Soumis le : jeudi 4 septembre 2008 - 13:37:45
Dernière modification le : jeudi 9 février 2017 - 15:26:41
Document(s) archivé(s) le : mardi 28 juin 2011 - 16:29:59

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INRIA | IRISA | ENS-CACHAN | GRID5000 | UR1-UFR-ISTIC

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Gabriel Antoniu, Loïc Cudennec, Majd Ghareeb, Osamu Tatebe. Building Hierarchical Grid Storage Using the Gfarm Global File System and the JuxMem Grid Data-Sharing Service. Emilio Luque and Tomàs Margalef and Domingo Benítez. 14th International Euro-Par Conference, Aug 2008, Las Palmas de Gran Canaria, Spain. Springer, LNCS 5168, pp.456-465, 2008, Euro-Par 2008 Parallel Processing. <inria-00318590>

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