While most scientific workflows systems are based on dataflow, some amount of control-flow modeling is often necessary for engineering fault-tolerant, robust, and adaptive workflows. However, control-flow modeling within dataflow often results in workflow specifications that are hard to comprehend, reuse, and maintain. We describe new modeling constructs to address these issues that provide a structured approach for modeling control-flow within scientific workflows, and discuss their implementation within the Kepler scientific workflow system.
Revised: January 28, 2010 |
Published: July 30, 2008
Citation
Ngu A., S. Bowers, N. Haasch, T. McPhillips, T. McPhillips, and T.J. Critchlow. 2008.Flexible Scientific Workflow Modeling Using Frames, Templates, and Dynamic Embedding. In Proceedings of the 20th International Conference on Scientific and Statistical Database Management, Lecture Notes in Computer Science, 5069, 566-572. New York:Springer Verlag.PNNL-SA-60311.