Data grids are middleware systems that offer secure shared storage of massive scientific datasets over wide area networks. In this paper we describe the GReIC Data Storage, a novel grid storage service which has been developed within the Grid Relational Catalog (GReIC) Project. The aim of this service is to manage efficiently, securely and transparently collections of bioinformatics data concerning "in silico" experiments on the grid promoting flexible, secure and coordinated storage resource sharing and publication across virtual organizations, taking into account current grid standards and specifications
During the last decades the demand for large-scale computational and storage resources in science ha...
During the last decades the demand for large-scale computational and storage resources in science ha...
Today many Data Grid applications need to manage and process a very large amount of data distributed...
Data grid management systems are becoming increasingly important in the context of the recently adop...
In a growing number of scientific disciplines, large data collections are emerging as important comm...
Grids encourage and promote the publication, sharing and integration of scientific data, distributed...
Today many Data Grid applications need to manage and process a very large amount of data distributed...
Many data grid applications manage and process huge datasets distributed across multiple grid nodes ...
Production grids such as EGEE allow scientists and researchers using aggregated computational power ...
Grid computing is an emerging and enabling technology allowing organizations to easily share, integr...
Current production Grids involve hundreds of sites and thousands of machines. In this context, P2P s...
Currently several applications produce huge amount of data making them available for post-processing...
Today many data grid applications need to manage and process a very large amount of data distributed...
DNA Microarrays have dramatically reshaped modern biological research by deriving profiles of genome...
Bioinformatics is an important application area for Grid computing. The Grid computing issues requir...
During the last decades the demand for large-scale computational and storage resources in science ha...
During the last decades the demand for large-scale computational and storage resources in science ha...
Today many Data Grid applications need to manage and process a very large amount of data distributed...
Data grid management systems are becoming increasingly important in the context of the recently adop...
In a growing number of scientific disciplines, large data collections are emerging as important comm...
Grids encourage and promote the publication, sharing and integration of scientific data, distributed...
Today many Data Grid applications need to manage and process a very large amount of data distributed...
Many data grid applications manage and process huge datasets distributed across multiple grid nodes ...
Production grids such as EGEE allow scientists and researchers using aggregated computational power ...
Grid computing is an emerging and enabling technology allowing organizations to easily share, integr...
Current production Grids involve hundreds of sites and thousands of machines. In this context, P2P s...
Currently several applications produce huge amount of data making them available for post-processing...
Today many data grid applications need to manage and process a very large amount of data distributed...
DNA Microarrays have dramatically reshaped modern biological research by deriving profiles of genome...
Bioinformatics is an important application area for Grid computing. The Grid computing issues requir...
During the last decades the demand for large-scale computational and storage resources in science ha...
During the last decades the demand for large-scale computational and storage resources in science ha...
Today many Data Grid applications need to manage and process a very large amount of data distributed...