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3 Bio-Algorithms and Med-Systems

3 2007

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GRID infrastructures as catalysts for development on e-Science: experiences in the Mediterranean

Andronico G., Barbera R., Koumantaros K., Ruggieri F., Tanlongo F., Vella K.

Bio-Algorithms and Med-Systems

2007

Vol. 3, no. 5

23--25

The digital gap prevents today in many parts of the world the diffusion of e-Science which is considered as one of the key enablers of progress and development in the 21st Century. On the other hand, investing in e-Infrastructures is the key for a long-term growth and changes in the Society in developing Countries. The paper discusses this topic and provides some details about the EUMEDGRID Project experience in the Mediterranean area.

GRID: from HEP to e-Infrastructures

Ruggieri F.

Bio-Algorithms and Med-Systems

2007

Vol. 3, no. 5

17--21

GRID technology has been applied to several scientific applications. High Energy Physics has been one of the earliest adopters of the GRID approach due to problematic treatment of the huge quantity of data that the Large Hadron Collider (LHC) at CERN will produce in the next years. GRID Infrastructures, initially set-up by those early users, are now deployed in large number of countries and Europe is one of the big investors in the field. Several scientific applications are now available on the GRID which is now recognised as one of the enabling e-Infrastructures technologies. Development of new e- Infrastructures, especially in new emerging countries, could be relevant as an acceleration factor for the growth of scientific communities in those countries.

A solution for data transfer and processing using a GRID approach

Budano A., Celio P., Cellini S., Gargana R., Galeazzi F., Stanescu C., Ruggieri F., Guo Y. Q., Wang L., Zhang X. M.

Bio-Algorithms and Med-Systems

2007

Vol. 3, no. 5

33--37

An important aspect in a lot of physics and biology experiments is the access and the processing of the data from a different places and in the shortest possible time. We implemented a data files moving system, based on GRID tools and services, to automatically transfer the files from a site that generated the data to some other site in the same collaboration group for processing and analysis. We also describe the GRID approach to a unified job submission and processing system and the mirroring of data files using the catalogues. This approach allows GRID communities to cooperate more efficiently in data analysis, to share the available resources and to backup the data at the same time.