Scientific Data Management Architecture for Grid Computing Environments

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• 作者：Jaechun No ; Nguyen Tien Cuong ; Sung Soon Park
• 刊名：Lecture Notes in Computer Science
• 出版年：2005
• 出版时间：2005
• 年：2005
• 卷：3795
• 期：1
• 页码：pp.541-546
• 全文大小：522 KB

文摘

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.