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An Approach to Configuration Management of Scientific Workflows
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Author(s): Tassio Ferenzini Martins Sirqueira (Federal University of Juiz de Fora, Juiz de Fora, Brazil & Vianna Junior Institute, Juiz de Fora, Brazil), Regina Braga (Federal University of Juiz de Fora, Juiz de Fora, Brazil), Marco Antônio P. Araújo (Federal University of Juiz de Fora, Juiz de Fora, Brazil & Federal Institute of Southeast Minas Gerais, Juiz de Fora, Brazil), José Maria N. David (Federal University of Juiz de Fora, Juiz de Fora, Brazil), Fernanda Campos (Federal University of Juiz de Fora, Juiz de Fora, Brazil)and Victor Ströele (Federal University of Juiz de Fora, Juiz de Fora, Brazil)
Copyright: 2017
Volume: 9
Issue: 2
Pages: 27
Source title:
International Journal of Web Portals (IJWP)
DOI: 10.4018/IJWP.2017070102
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Abstract
A scientific software ecosystem aims to integrate all stages of an experiment and its related workflows, in order to solve complex problems. In this vein, in order to assure the experiment proper execution, any modification that occurs must be propagated to the associated workflows, which must be maintained and evolved for the successful conduction of the research. One way to ensure this control is through configuration management using data provenance. In this work, the authors use data provenance concepts and models, together with ontologies to provide an architecture for the storage and query of scientific experiment information. Considering the architecture, a proof of concept was conducted using workflows extracted from the myExperiment repository. The results are presented along the paper.
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