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Parallel Computing - Parallel data-intensive algorithms and applications
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E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
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ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
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ICCS '07 Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007
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GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
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GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
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ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III
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Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
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The emerging class of urgent geoscience workflows are capable of quickly allocating computational resources for time critical tasks. To date, no urgent computing capabilities for data services exists. Since urgent geoscience and Earth science workflows are typically data intensive, urgent data services are necessary so that these urgent workflows do not bottleneck on inappropriately managed or provisioned resources. In this paper we examine emerging urgent Earth and geoscience workflows, the data services used by these workflows, and our proposed urgent data management framework for managing urgent data services.