The DECIDE Science Gateway

Authors:
V. Ardizzone;R. Barbera;A. Calanducci;M. Fargetta;E. Ingrà;I. Porro;G. La Rocca;S. Monforte;R. Ricceri;R. Rotondo;D. Scardaci;A. Schenone
Affiliations:
Consortium GARR, Rome, Italy 00185;Department of Physics and Astronomy, University of Catania, Catania, Italy 95125;Consorzio COMETA, Catania, Italy 95123;Consorzio COMETA, Catania, Italy 95123;Consortium GARR, Rome, Italy 00185;Department of Computer Science, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy 16145;Division of Catania, Italian National Istitute of Nuclear Physics, Catania, Italy 95123;Division of Catania, Italian National Istitute of Nuclear Physics, Catania, Italy 95123;Division of Catania, Italian National Istitute of Nuclear Physics, Catania, Italy 95123;Consortium GARR, Rome, Italy 00185;Division of Catania, Italian National Istitute of Nuclear Physics, Catania, Italy 95123;Department of Computer Science, Bioengineering, Robotics and Systems Engineering, University of Genoa, Genoa, Italy 16145
Venue:
Journal of Grid Computing
Year:
2012

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Abstract

The motivation of this work fits with the general vision to enable e-health for European citizens, irrespective of their social and financial status and their place of residence. Services to be provided include access to a high-quality early diagnostic and prognostic service for the Alzheimer Disease and other forms of dementia, based both on the European Research and Education Networks and the European Grid Infrastructure. The present paper reports on the architecture and services of a Science Gateway developed in the context of the DECIDE project, which aims to support the medical community in its daily duties of patients' examination and diagnosis. The implementation of the Science Gateway is described with particular focus on the standard technologies adopted to ease the access by non IT-.expert users. The work leverages on an authentication and authorization infrastructure based on Identity Federations and robot certificates and on the adoption of the SAGA standard for middleware-independent Grid interaction. The architecture and the functionalities of the digital repository for medical image storage and analysis are also presented.