In a growing number of scientific disciplines, large data collections are emerging as important community resources. Data and metadata management exploiting the data grid paradigm is becoming more and more important as the number of involved data sources is continuously increasing and decentralizing. Efficient grid data access services are perceived as mandatory components for data management. In the grid data management area the GRelC Project has been addressing efficiency, transparency, interoperability and security issues, providing grid enabled solutions and proposing a set of data access and integration/federation services. In this paper we present the advances related to the GRelC Data Access, highlighting differences and innovations ...
Currently several applications produce huge amount of data making them available for post-processing...
Data grids allow to store, manage and share large data collections, huge amount of files, geographic...
This is a post-print version published in Future Generation Computer Systems © 2007 Elsevier. www.el...
Many data grid applications manage and process huge datasets distributed across multiple grid nodes ...
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...
Grids encourage and promote the publication, sharing and integration of scientific data, distributed...
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...
Data grids are middleware systems that offer secure shared storage of massive scientific datasets ov...
Grid applications need to access, integrate, manage and process huge amount of data stored within di...
Today many Data Grid applications need to manage and process a very large amount of data distributed...
Today many DataGrid applications need to manage and process a very large amount of data distributed ...
Today many data grid applications need to manage and process a very large amount of data distributed...
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...
Data grids allow to store, manage and share large data collections, huge amount of files, geographic...
This is a post-print version published in Future Generation Computer Systems © 2007 Elsevier. www.el...
Many data grid applications manage and process huge datasets distributed across multiple grid nodes ...
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...
Grids encourage and promote the publication, sharing and integration of scientific data, distributed...
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...
Data grids are middleware systems that offer secure shared storage of massive scientific datasets ov...
Grid applications need to access, integrate, manage and process huge amount of data stored within di...
Today many Data Grid applications need to manage and process a very large amount of data distributed...
Today many DataGrid applications need to manage and process a very large amount of data distributed ...
Today many data grid applications need to manage and process a very large amount of data distributed...
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...
Data grids allow to store, manage and share large data collections, huge amount of files, geographic...
This is a post-print version published in Future Generation Computer Systems © 2007 Elsevier. www.el...