Data management and transfer in high-performance computational grid environments
Parallel Computing - Parallel data-intensive algorithms and applications
HPDC '03 Proceedings of the 12th IEEE International Symposium on High Performance Distributed Computing
An Online Credential Repository for the Grid: MyProxy
HPDC '01 Proceedings of the 10th IEEE International Symposium on High Performance Distributed Computing
DataMover: Robust Terabyte-Scale Multi-file Replication over Wide-Area Networks
SSDBM '04 Proceedings of the 16th International Conference on Scientific and Statistical Database Management
DIRAC: A Scalable Lightweight Architecture for High Throughput Computing
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
High-Level Grid Application Environment to Use Legacy Codes as OGSA Grid Services
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
A Data Management Framework for Urgent Geoscience Workflows
ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
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Grid-BGC is a Grid-enabled terrestrial biogeochemical cycle simulator collaboratively developed by the National Center for Atmospheric Research (NCAR) and the University of Colorado (CU) with funding from NASA. The primary objective of the project is to utilize Globus Grid technology to integrate inexpensive commodity cluster computational resources at CU with the mass storage system at NCAR while hiding the logistics of data transfer and job submission from the scientists. We describe a typical process for simulating the terrestrial carbon cycle, present our solution architecture and software design, and describe our implementation experiences with Grid technology on our systems. By design the Grid-BGC software framework is extensible in that it can utilize other grid-accessible computational resources and can be readily applied to other climate simulation problems which have similar workflows. Overall, this project demonstrates an end-to-end system which leverages Grid technologies to harness distributed resources across organizational boundaries to achieve a cost-effective solution to a compute-intensive problem.