A security architecture for computational grids
CCS '98 Proceedings of the 5th ACM conference on Computer and communications security
The grid: blueprint for a new computing infrastructure
The grid: blueprint for a new computing infrastructure
Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
HPCN Europe 2001 Proceedings of the 9th International Conference on High-Performance Computing and Networking
A Resource Management Architecture for Metacomputing Systems
IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing
The Globus Project: A Status Report
HCW '98 Proceedings of the Seventh Heterogeneous Computing Workshop
Forecasting network performance to support dynamic scheduling using the network weather service
HPDC '97 Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing
MSS '01 Proceedings of the Eighteenth IEEE Symposium on Mass Storage Systems and Technologies
Grid Information Services for Distributed Resource Sharing
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
Condor-G: A Computation Management Agent for Multi-Institutional Grids
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations
International Journal of High Performance Computing Applications
GriPhyN and LIGO, Building a Virtual Data Grid for Gravitational Wave Scientists
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
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Many Physics experiments today generate large volumes of data. That data is then processed in many ways in order to achieve the understanding of fundamental physical phenomena. Virtual Data is a concept that unifies the view of the data whether it is raw or derived. It provides a new degree of transparency in how data-handling and processing capabilities are integrated to deliver data products to end-users or applications, so that requests for such products are easily mapped into computation and/or data access at multiple locations. GriPhyN (Grid Physics Network) is a NSF-funded project, which aims to realize the concepts of Virtual Data. Among the physics applications participating in the project is the Laser Interferometer Gravitational-wave Observatory (LIGO), which is being built to observe the gravitational waves predicted by general relativity. LIGO will produce large amounts of data, which are expected to reach hundreds of petabytes over the next decade. Large communities of scientists, distributed around the world, need to access parts of these datasets and perform efficient analysis on them. It is expected that the raw and processed data will be distributed among various national centers, university computing centers, and individual workstations. In this paper we describe some of the challenges associated with building Virtual Data Grids for experiments such as LIGO.