Browsing by Subject "Scientific workflow"

Now showing 1 - 2 of 2
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    CyberWater: An Open Framework for Data and Model Integration in Water Science and Engineering
    (ACM, 2022-10-17) Chen, Ranran; Li, Feng; Bieger, Drew; Song, Fengguang; Liang, Yao; Luna, Daniel; Young, Ryan; Liang, Xu; Pamidighantam, Sudhakar; Computer and Information Science, School of Science
    The CyberWater project is to build an open-data open-model framework for easy and incremental integration of heterogeneous data sources and diverse scientific models across disciplines in the broad water domain. The CyberWater framework extends the open-data open-model framework called Meta-Scientific-Modeling (MSM) that provides a system-wide data and model integration platform. On top of MSM, the CyberWater framework provides a set of toolkits, and external system integration engines, to further facilitate users' scientific modeling and collaboration across disciplines. For example, the developed generic model agent toolkit enables users to integrate their computational models into CyberWater via graphical user interface configuration without coding, which further simplifies the data and model integration and model coupling. CyberWater adopts a graphical scientific workflow system, VisTrails, ensuring data provenance and reproducible computing. CyberWater supports novel access to high-performance computing resources on demand for users' computational expensive model tasks. We demonstrate merits of CyberWater by a use case of hydrologic modeling workflow.
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    Open data and model integration through generic model agent toolkit in CyberWater framework
    (Elsevier, 2022-06) Chen, Ranran; Luna, Daniel; Cao, Yuan; Liang, Yao; Liang, Xu; Computer and Information Science, School of Science
    The CyberWater project is created to develop an open data and open model integration framework for studying complex environmental and water problems, where diverse online data sources can be directly accessed by diverse models without any need of users’ extra effort on the tedious tasks of data preparation for their models. We present our design and development of a novel generic model agent toolkit in the context of CyberWater, which enables users to integrate their models into the CyberWater system without writing any new code, significantly simplifying the data and model integration task. CyberWater adopts a visual scientific workflow system, VisTrails, which also supports provenance and reproducible computing. Our approach and the developed generic model agent toolkit are demonstrated, via CyberWater framework, with automated and flexible workflows through integrating data and models using real-world use cases. Two popular hydrological models, VIC and DHSVM, are used for illustrations.