The SDSC storage resource broker
CASCON '98 Proceedings of the 1998 conference of the Centre for Advanced Studies on Collaborative research
Resource Co-Allocation in Computational Grids
HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
The design and implementation of Grid database services in OGSA-DAI: Research Articles
Concurrency and Computation: Practice & Experience - Grid Performance
GridSphere: a portal framework for building collaborations: Research Articles
Concurrency and Computation: Practice & Experience - Middleware for Grid Computing
Workflow-based grid applications
Future Generation Computer Systems
Grid-Based Data Stream Processing in e-Science
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
Design and Implementation of Network Performance Aware Applications Using SAGA and Cactus
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
LAG: Achieving transparent access to legacy data by leveraging grid environment
Future Generation Computer Systems
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Implementing efficient data management is a key challenge of grid computing. Due to seemingly different domain specific requirements, data management solutions have been developed separately for each community grid using a selection of low-level tools and APIs. This has led to unnecessarily complex and overspecialized systems. We describe three D-Grid community grid projects, AstroGrid-D, C3Grid and MediGRID, and analyze to what degree they share the same data management requirements. As a result, we derive the viewpoint that data management systems should provide applications with data access based on declarative and logical addressing, while ensuring the required quality of service (QoS). As a possible approach for this, we describe a conceptual data management system architecture that separates application, community, and resource concerns, using three layers of addressing, thus providing a highly adaptable architecture for different community grids. Additionally, we discuss approaches for the integration of legacy applications and grid scheduling with the proposed architecture.