The IPOL Demo System: A Scalable Architecture of Microservices for Reproducible Research

Martín Arévalo 1 Carlos Escobar 2 Pascal Monasse 3, 4, 5 Nelson Monzón 6 Miguel Colom 2
1 Universidad de la República Uruguay
2 CMLA - Centre de Mathématiques et de Leurs Applications
3 ENPC - École des Ponts ParisTech
4 LIGM - Laboratoire d'Informatique Gaspard-Monge
5 IMAGINE [Marne-la-Vallée]
LIGM - Laboratoire d'Informatique Gaspard-Monge, CSTB - Centre Scientifique et Technique du Bâtiment, ENPC - École des Ponts ParisTech
6 Universidad de Las Palmas de Gran Canaria
Abstract : We identified design problems related to the architecture, ergonomy, and performance in the previous version of the Image Processing on Line (IPOL) demonstration system. In order to correct them we moved to an architecture of microservices and performed many refactorings. This article first describes the state of the art in Reproducible Research platforms and explains IPOL in that context. The specific problems which were found are discussed, along with the solutions implemented in the new demo system, and the changes in its architecture with respect to the previous system. Finally, we expose the challenges of the system in the short term.
Keywords : IPOL reproducible research research journal SOA microservices service-oriented platform continuous integration
Type de document :
Communication dans un congrès
1st Workshop on Reproducible Research in Pattern Recognition, Dec 2016, Cancun, Mexico. Springer, 1st Workshop on Reproducible Research in Pattern Recognition, pp.3-16, 2017, 〈10.1007/978-3-319-56414-2_1〉
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Contributeur : Pascal Monasse <>
Soumis le : jeudi 3 août 2017 - 10:22:27
Dernière modification le : mercredi 30 mai 2018 - 17:22:02

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UPEC-UPEM | ENS-CACHAN | UNIV-PARIS-SACLAY | LIGM_A3SI | LIGM | PARISTECH | ENPC | IMAGINE

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Martín Arévalo, Carlos Escobar, Pascal Monasse, Nelson Monzón, Miguel Colom. The IPOL Demo System: A Scalable Architecture of Microservices for Reproducible Research. 1st Workshop on Reproducible Research in Pattern Recognition, Dec 2016, Cancun, Mexico. Springer, 1st Workshop on Reproducible Research in Pattern Recognition, pp.3-16, 2017, 〈10.1007/978-3-319-56414-2_1〉. 〈hal-01571616〉

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