An Architectural Overview of the GRelC Data Access Service

An Architectural Overview of the GRelC Data Access Service

Sandro Fiore (University of Salento & CMCC, Italy), Alessandro Negro (CMCC, Italy), Salvatore Vadacca (CMCC, Italy), Massimo Cafaro (University of Salento & CMCC, Italy), Giovanni Aloisio (University of Salento & CMCC, Italy), Roberto Barbera (Università di Catania and Istituto Nazionale di Fisica Nucleare (INFN), Italy) and Emidio Giorgio (INFN Sez. di Catania, Italy)
DOI: 10.4018/978-1-4666-0879-5.ch211


Grid computing is an emerging and enabling technology allowing organizations to easily share, integrate and manage resources in a distributed environment. Computational Grid allows running millions of jobs in parallel, but the huge amount of generated data has caused another interesting problem: the management (classification, storage, discovery etc.) of distributed data, i.e., a Data Grid specific issue. In the last decade, many efforts concerning the management of data (grid-storage services, metadata services, grid-database access and integration services, etc.) identify data management as a real challenge for the next generation petascale grid environments. This work provides an architectural overview of the GRelC DAS, a grid database access service developed in the context of the GRelC Project and currently used for production/tutorial activities both in gLite and Globus based grid environments.
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This Section introduces the Grid Database Access Service concept, describing the main existing approaches (front-end and embedded) and then dealing with two case studies: GRelC and OGSA-DAI. We will also highlight the main differences between the two research projects from several points of view: programming language, client support, security, data access and integration services, etc. Finally, we will briefly discuss the convergence issues related to the novel OGF DAIS specifications.

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