Current production Grids involve hundreds of sites and thousands of machines. In this
context, P2P solutions are well suited-with regard to existing centralized and hierarchical …

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 …

In this paper we present a general methodology for designing supervised peer-to-peer
systems. A supervised peer-to-peer system is a system in which the overlay network is …

Production grids such as EGEE allow scientists and researchers using aggregated
computational power and storage resources. Many users/virtual organizations (VOs) eg …

Grid portals are web gateways aiming at concealing the underlying infrastructure through a
pervasive, transparent, user-friendly, ubiquitous and seamless access to heterogeneous …

Grids promote the publication, sharing and integration of scientific data, distributed across
virtual organizations. The complexity of data management in a grid environment comes from …

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 …

With a growing trend towards grid-based data repositories and data analysis services,
scientific data analysis often involves accessing multiple data sources, and analyzing the …

Grid computing is an emerging and enabling technology allowing organizations to easily
share, integrate and manage resources in a distributed environment. Computational Grid …

Data grid management systems are becoming increasingly important in the context of the
recently adopted service oriented science paradigm. The Grid Relational Catalog (GRelC) …