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From lesson learned to the refactoring of the DRIHM science gateway for hydro-meteorological research

Authors :
Andrea Clematis
Emanuele Danovaro
Daniele D'Agostino
Antonella Galizia
Gabriele Zereik
Luca Roverelli
Source :
Journal of grid computing 14 (2016): 575–588. doi:10.1007/s10723-016-9377-8, info:cnr-pdr/source/autori:D. D'Agostino, E. Danovaro, A. Clematis, L. Roverelli, G. Zereik, and A. Galizia/titolo:From lesson learned to the refactoring of the DRIHM science gateway for hydro-meteorological research/doi:10.1007%2Fs10723-016-9377-8/rivista:Journal of grid computing/anno:2016/pagina_da:575/pagina_a:588/intervallo_pagine:575–588/volume:14
Publication Year :
2016
Publisher :
Kluwer Academic Publishers, London ;, Paesi Bassi, 2016.

Abstract

A full hydro-meteorological (HM) simulation, from rainfall to impact on urban areas, is a multidisciplinary activity which consists in the execution of a workflow composed by complex and heterogeneous model engines. Moreover an extensive set of configuration parameters have to be selected consistently among the models, otherwise the simulation can fail or produce unreliable results. The DRIHM portal is a Web-based science gateway aiming to support HM researchers in designing, executing and managing HM simulations. The first version of the portal was developed during the DRIHM project using the gUSE science gateway toolkit. The lesson we learned is guiding a refactoring process that, together with a review of the most relevant technologies for the development of a science gateway, represent the focus of this paper. Beside the technological aspects, the need of a strong interplay between ICT and other domain-specific communities clearly emerged, together with coherent policies in the management of data, computational resources and software components that represent the ecosystem of a science gateways.

Details

Language :
English
Database :
OpenAIRE
Journal :
Journal of grid computing 14 (2016): 575–588. doi:10.1007/s10723-016-9377-8, info:cnr-pdr/source/autori:D. D'Agostino, E. Danovaro, A. Clematis, L. Roverelli, G. Zereik, and A. Galizia/titolo:From lesson learned to the refactoring of the DRIHM science gateway for hydro-meteorological research/doi:10.1007%2Fs10723-016-9377-8/rivista:Journal of grid computing/anno:2016/pagina_da:575/pagina_a:588/intervallo_pagine:575–588/volume:14
Accession number :
edsair.doi.dedup.....0b6c9bd6a2b71a387a595c809015e2e7
Full Text :
https://doi.org/10.1007/s10723-016-9377-8