Scientific data management architecture for grid computing environments

Authors:
Jaechun No;Nguyen Tien Cuong;Sung Soon Park
Affiliations:
Dept. of Computer Software, College of Electronics and Information Engineering, Sejong University, Seoul, Korea;Dept. of Computer Software, College of Electronics and Information Engineering, Sejong University, Seoul, Korea;Dept. of Computer Science & Engineering, College of Science and Engineering, Anyang University, Anyang, Korea
Venue:
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
Year:
2005

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Proceedings of the 2001 ACM/IEEE conference on Supercomputing

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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.