Full Citation
Title: Server-side workflow execution using data grid technology for reproducible analyses of data-intensive hydrologic systems
Citation Type: Journal Article
Publication Year: 2016
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Abstract: Many geoscience disciplines utilize complex computational models for advancing understanding and sustainable management of Earth systems. Executing such models and their associated data preprocessing and postprocessing routines can be challenging for a number of reasons including (1) accessing and preprocessing the large volume and variety of data required by the model, (2) postprocessing large data collections generated by the model, and (3) orchestrating data processing tools, each with unique software dependencies, into workflows that can be easily reproduced and reused. To address these challenges, the work reported in this paper leverages the Workflow Structured Object functionality of the Integrated Rule-Oriented Data System and demonstrates how it can be used to access distributed data, encapsulate hydrologic data processing as workflows, and federate with other community-driven cyberinfrastructure systems. The approach is demonstrated for a study investigating the impact of drought on populations in the Carolinas region of the United States. The analysis leverages computational modeling along with data from the Terra Populus project and data management and publication services provided by the Sustainable Environment-Actionable Data project. The work is part of a larger effort under the DataNet Federation Consortium project that aims to demonstrate data and computational interoperability across cyberinfrastructure developed independently by scientific communities.
Url: http://onlinelibrary.wiley.com/doi/10.1002/2015EA000139/full
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Authors: Essawy, Bakinam T; Goodall, Jonathan L; Xu, Hao; Rajasekar, Arcot; Myers, James D; Kugler, Tracy A; Billah, Mirza M; Whitton, Mary C; Moore, Reagan W
Periodical (Full): Earth and Space Science
Issue: 4
Volume: 3
Pages: 163-175
Data Collections: IPUMS Terra
Topics: Methodology and Data Collection, Other
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