Many data grid applications manage and process huge datasets distributed across multiple grid nodes and stored into heterogeneous databases; e-Science projects need to access widespread databases within a computational grid environment, through a set of secure, interoperable and efficient data grid services. In the data grid management area several projects aims at addressing these issues providing different solutions and proposing a set of data access and integration/federation services. In this paper we present the GRelC Data Access, a WS-I based data grid access service developed by SPACI Consortium and the University of Salento. Its architectural design is discussed and experimental results related to an European testbed are also repor...
Research and development activities relating to the Grid have generally focused on applications wher...
Nowadays many data grid applications need to manage and process a huge amount of data distributed ac...
Nowadays many data grid applications need to manage and process a huge amount of data distributed ac...
Today many Data Grid applications need to manage and process a very large amount of data distributed...
Grid computing is an emerging and enabling technology allowing organizations to easily share, integr...
In a growing number of scientific disciplines, large data collections are emerging as important comm...
Production grids such as EGEE allow scientists and researchers using aggregated computational power ...
Grid applications need to access, integrate, manage and process huge amount of data stored within di...
Grids encourage and promote the publication, sharing and integration of scientific data, distributed...
Data grid management systems are becoming increasingly important in the context of the recently adop...
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...
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...
Data grids are middleware systems that offer secure shared storage of massive scientific datasets ov...
Research and development activities relating to the Grid have generally focused on applications wher...
Nowadays many data grid applications need to manage and process a huge amount of data distributed ac...
Nowadays many data grid applications need to manage and process a huge amount of data distributed ac...
Today many Data Grid applications need to manage and process a very large amount of data distributed...
Grid computing is an emerging and enabling technology allowing organizations to easily share, integr...
In a growing number of scientific disciplines, large data collections are emerging as important comm...
Production grids such as EGEE allow scientists and researchers using aggregated computational power ...
Grid applications need to access, integrate, manage and process huge amount of data stored within di...
Grids encourage and promote the publication, sharing and integration of scientific data, distributed...
Data grid management systems are becoming increasingly important in the context of the recently adop...
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...
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...
Data grids are middleware systems that offer secure shared storage of massive scientific datasets ov...
Research and development activities relating to the Grid have generally focused on applications wher...
Nowadays many data grid applications need to manage and process a huge amount of data distributed ac...
Nowadays many data grid applications need to manage and process a huge amount of data distributed ac...