In an increasing number of scienti c disciplines, large data collections are emerging as important community resources. In this paper, we introduce design principles for a data management architecture called the Data Grid. We describe two basic services that we believe are fundamental to the design of a data grid, namely, storage systems and metadata management. Next, we explain how these services can be used to develop higher-level services for replica management and replica selection. We conclude by describing our initial implementation of data grid functionality.
An early version of a replica management framework is presented in REF where the terms Replica Management and Replica Selection are defined within the context of a Data Grid.
The data grid: Towards an architecture for the distributed management and analysis of large scientific datasets
J. Network and Computer Applications
Computer Science