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.
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CITATION STYLE
Arévalo, M., Escobar, C., Monasse, P., Monzón, N., & Colom, M. (2017). The IPOL demo system: A scalable architecture of microservices for reproducible research. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10214 LNCS, pp. 3–16). Springer Verlag. https://doi.org/10.1007/978-3-319-56414-2_1
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