International audienceAs 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 c...
Abstract: Grid computing has recently gained in popularity. Grid applications can be very demanding ...
In large-scale distributed dataset sharing systems, challenges of dynamicity, heterogeneity, and lat...
Held in conjunction with Parallel Architectures and Compilation Techniques 2007 (PACT2007)Internatio...
International audienceAs more and more large-scale applications need to generate and process very la...
Grid Datafarm architecture is designed for facilitating reliable file sharing and high-performance d...
International Journal of Grid Computing & Applications (IJGCA) ISSN : 0976-9404 [Online]; 2229-3949 ...
Also available as an INRIA Research Report 4917: http://www.inria.fr/rrrt/rr-4917.htmlWe address the...
Also available as an INRIA Research Report 4917: http://www.inria.fr/rrrt/rr-4917.htmlWe address the...
International audienceEnabling high-level programming models on grids is today a major challenge. A ...
Most of currently deployed Grid systems employ hierarchical or centralized approaches to simplify sy...
International audienceThis paper addresses the problem of efficiently storing and accessing massive ...
International audienceThis paper addresses the problem of building a grid file system for application...
In parallel computing environments such as HPC clus-ters and the Grid, data-intensive applications i...
The Grid Datafarm (Gfarm) architecture is designed for global petascale data-intensive computing. It...
Abstract: Grid computing has recently gained in popularity. Grid applications can be very demanding ...
In large-scale distributed dataset sharing systems, challenges of dynamicity, heterogeneity, and lat...
Held in conjunction with Parallel Architectures and Compilation Techniques 2007 (PACT2007)Internatio...
International audienceAs more and more large-scale applications need to generate and process very la...
Grid Datafarm architecture is designed for facilitating reliable file sharing and high-performance d...
International Journal of Grid Computing & Applications (IJGCA) ISSN : 0976-9404 [Online]; 2229-3949 ...
Also available as an INRIA Research Report 4917: http://www.inria.fr/rrrt/rr-4917.htmlWe address the...
Also available as an INRIA Research Report 4917: http://www.inria.fr/rrrt/rr-4917.htmlWe address the...
International audienceEnabling high-level programming models on grids is today a major challenge. A ...
Most of currently deployed Grid systems employ hierarchical or centralized approaches to simplify sy...
International audienceThis paper addresses the problem of efficiently storing and accessing massive ...
International audienceThis paper addresses the problem of building a grid file system for application...
In parallel computing environments such as HPC clus-ters and the Grid, data-intensive applications i...
The Grid Datafarm (Gfarm) architecture is designed for global petascale data-intensive computing. It...
Abstract: Grid computing has recently gained in popularity. Grid applications can be very demanding ...
In large-scale distributed dataset sharing systems, challenges of dynamicity, heterogeneity, and lat...
Held in conjunction with Parallel Architectures and Compilation Techniques 2007 (PACT2007)Internatio...