Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/46390
Título: | The IPOL demo system: a scalable architecture of microservices for reproducible research | Autores/as: | Arévalo, Martín Escobar, Carlos Monasse, Pascal Monzón López, Nelson Manuel Colom, Miguel |
Clasificación UNESCO: | 220990 Tratamiento digital. Imágenes | Palabras clave: | IPOL Reproducible research Research Journal SOA, et al. |
Fecha de publicación: | 2017 | Editor/a: | Springer | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 1st International Workshop on Reproducible Research in Pattern Recognition (RRPR) 1st Workshop on Reproducible Research in Pattern Recognition, RRPR 2016 |
Resumen: | 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. | URI: | http://hdl.handle.net/10553/46390 | ISBN: | 978-3-319-56413-5 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-319-56414-2_1 | Fuente: | Reproducible Research in Pattern Recognition. RRPR 2016. Lecture Notes in Computer Science, v. 10214 LNCS, p. 3-16 |
Colección: | Capítulo de libro |
Citas SCOPUSTM
2
actualizado el 08-sep-2024
Citas de WEB OF SCIENCETM
Citations
2
actualizado el 08-sep-2024
Visitas
212
actualizado el 09-mar-2024
Google ScholarTM
Verifica
Altmetric
Comparte
Exporta metadatos
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.