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Data Management in Production Grids - Challenges and Techniques
Vienna, Austria July 03-July 05
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SSDBM.2006.1718th International Conference on Scie ...
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Erwin Laure, CERN - European Organization for Nuclear Research, Geneva

Advances in networking and distributed computing allowed the establishment of production Grid infrastructures during the past few years. Today, large-scale production Grid infrastructures such as EGEE in Europe, OSG in the US, and NAREGI in Japan are offering their services to many scientific and industrial applications, from domains as diverse as Astronomy, Biomedicine, Computational Chemistry, Earth Sciences, Financial Simulations, and High Energy Physics.

Grid infrastructures provide these applications a new means for collaborative research by facilitating the sharing of computational and data resources at an unprecedented scale. The efficient and secure sharing of data resources, which can reach several Tera- to Petabytes in some application domains, is one of the main challenges for Grid infrastructures.

In this talk we discuss the main challenges for data sharing on Grid infrastructures, present several techniques that are already established on production Grid infrastructures or currently being developed and point out main open research issues. We will also present examples of application usage of one of the larges Grid infrastructures, EGEE.

Citation:
Erwin Laure, "Data Management in Production Grids - Challenges and Techniques," ssdbm, pp.45, 18th International Conference on Scientific and Statistical Database Management (SSDBM'06), 2006
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