Abstract
Many large-scale scientific experiments and simulations generate very large amounts of data (on the order of terabytes to petabytes), spanning thousands of files and data sets. We have developed a software system, called Grid Environment-based Data Management System (GEDAS), that provides a high-level, user-friendly interface, while maintaining the consistent data replicas among the grid communities. We describe the design and implementation of GEDAS and present performance results on Linux cluster.
This work was supported in part by KOSEF award R05-2004-000-12543-0.
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© 2005 Springer-Verlag Berlin Heidelberg
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No, J., Cuong, N.T., Park, S.S. (2005). Scientific Data Management Architecture for Grid Computing Environments. In: Zhuge, H., Fox, G.C. (eds) Grid and Cooperative Computing - GCC 2005. GCC 2005. Lecture Notes in Computer Science, vol 3795. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11590354_69
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DOI: https://doi.org/10.1007/11590354_69
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30510-1
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