A Data Management Framework for Urgent Geoscience Workflows

  • Authors:
  • Jason Cope;Henry M. Tufo

  • Affiliations:
  • Department of Computer Science, University of Colorado at Boulder, Boulder, USA 80309-0430;Department of Computer Science, University of Colorado at Boulder, Boulder, USA 80309-0430

  • Venue:
  • ICCS '08 Proceedings of the 8th international conference on Computational Science, Part II
  • Year:
  • 2008

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Abstract

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.