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An Approach to Configuration Management of Scientific Workflows

An Approach to Configuration Management of Scientific Workflows

Tassio Ferenzini Martins Sirqueira, Regina Braga, Marco Antônio P. Araújo, José Maria N. David, Fernanda Campos, Victor Ströele
Copyright: © 2017 |Volume: 9 |Issue: 2 |Pages: 27
ISSN: 1938-0194|EISSN: 1938-0208|EISBN13: 9781522512325|DOI: 10.4018/IJWP.2017070102
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MLA

Sirqueira, Tassio Ferenzini Martins, et al. "An Approach to Configuration Management of Scientific Workflows." IJWP vol.9, no.2 2017: pp.20-46. http://doi.org/10.4018/IJWP.2017070102

APA

Sirqueira, T. F., Braga, R., Araújo, M. A., David, J. M., Campos, F., & Ströele, V. (2017). An Approach to Configuration Management of Scientific Workflows. International Journal of Web Portals (IJWP), 9(2), 20-46. http://doi.org/10.4018/IJWP.2017070102

Chicago

Sirqueira, Tassio Ferenzini Martins, et al. "An Approach to Configuration Management of Scientific Workflows," International Journal of Web Portals (IJWP) 9, no.2: 20-46. http://doi.org/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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