http://www.cnr.it/ontology/cnr/individuo/prodotto/ID281516
Gridification in Hydro-Meteorological Research: What It Is and Why We Need it? (Abstract/Poster in atti di convegno)
- Type
- Label
- Gridification in Hydro-Meteorological Research: What It Is and Why We Need it? (Abstract/Poster in atti di convegno) (literal)
- Anno
- 2014-01-01T00:00:00+01:00 (literal)
- Alternative label
Michael Schiffers, Christian Straube, Nils gentschen Felde, Andrea Clematis, Antonella Galizia,
Daniele D'Agostino, and Emanuele Danovaro (2014)
Gridification in Hydro-Meteorological Research: What It Is and Why We Need it?
in European Geosciences Union General Assembly, Vienna, Austria, 27 Aprile, 2 Maggio 2014
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Michael Schiffers, Christian Straube, Nils gentschen Felde, Andrea Clematis, Antonella Galizia,
Daniele D'Agostino, and Emanuele Danovaro (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
- http://meetingorganizer.copernicus.org/EGU2014/EGU2014-5700.pdf (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana
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- Google Scholar (literal)
- Abstract (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- LMU, Munich, Germany, IMATI, Genoa, Italy (literal)
- Titolo
- Gridification in Hydro-Meteorological Research: What It Is and Why We Need it? (literal)
- Abstract
- While computational hydro-meteorological research (HMR) requires the (chained) execution of various meteorological,
hydrological, hydraulic, and impact models, it is of paramount importance to overcome the difficulties
inherently associated with the consecutive execution of heterogeneous models and software. The difficulties
are rooted in different execution environments, in organizational constraints, and in separate data formats and
semantics. In order to gain the most benefit from HMR model chains, a Grid-based architecture has been proposed
which facilitates a) the seamless coupling of the most important meteorological, hydrological, hydraulic, and
impact models; b) the access to these models and related data across various administrative domains; c) the
execution of the models on the most appropriate resources available. Historically, however, most HMR models
are neither optimized nor prepared for a deployment on distributed computing infrastructures like Grids as for
example provided by the European Grid Infrastructure (EGI). The process of adapting HMR models to Grid
infrastructures is called \"gridification\".
The talk will first define what gridification really means. Giving several examples we report on lessons
learnt and best practices while gridifying HMR models in the DRIHM project. We also report on experiences
gained upon gridification testing. Finally, we propose a gridification benchmark to determine the quality of the
gridification process. (literal)
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