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Server Side Workflow Execution
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Description: Executing geoscience workflows can be challenging, especially when dealing with large, distributed, and heterogeneous data sets and computational tools. We explore the use of the Integrated Rule-Oriented Data System (iRODS) Workflow Structured Object (WSO) approach for addressing these challenges. We demonstrate how iRODS WSO can be used to access distributed data stored in federated data grids, encapsulate hydrologic data processing as workflows, and co-locate computational tools with reference data to support reproducibility of computational workflows. This is done by addressing how reproducibility of data-intensive analyses remains a significant challenge, how data grids are useful for reproducibility of workflows requiring large, distributed data sets, and data and computations should be co-located on servers to create executable Web resources
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 challengingfor a number of reasons including(1) accessing and preprocessing the large volume and variety of data required by the model, (2) postprocessing large data…
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