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On Providing Declarative Design and Programming Constructs for Scientific Workflows based on Process Networks

, and . San Diego Supercomputer Center, (2003)

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A machine learning approach for modular workflow performance prediction., , , and . WORKS@SC, page 7:1-7:11. ACM, (2017)Modular performance prediction for scientific workflows using Machine Learning., , , and . Future Gener. Comput. Syst., (2021)PAISE 2019 Keynote Speaker.. IPDPS Workshops, page 876. IEEE, (2019)From computation models to models of provenance: the RWS approach., , , , and . Concurr. Comput. Pract. Exp., 20 (5): 507-518 (2008)Scientific Process Automation and Workflow Management, , , , , , , , , and 6 other author(s). Scientific Data Management, chapter 13, Chapman & Hall, (2009)S04 - Introduction to scientific workflow management and the Kepler system., , , and . SC, page 205. ACM Press, (2006)Automation of Network-Based Scientific Workflows., , , , , , , , , and 5 other author(s). Grid-Based Problem Solving Environments, volume 239 of IFIP, page 35-61. Springer, (2006)Data through the Computational Lens., , , , , , , and . J. Comput. Sci., (2017)Enabling FAIR research in Earth Science through research objects., , , , , , , , , and 9 other author(s). Future Gener. Comput. Syst., (2019)Workflows and extensions to the Kepler scientific workflow system to support environmental sensor data access and analysis., , , , , , , , , and 1 other author(s). Ecol. Informatics, 5 (1): 42-50 (2010)