The DRIHM Project: A Flexible Approach to Integrate HPC, Grid and Cloud Resources for Hydro-Meteorological Research
Daniele D’Agostino, Andrea Clematis, Antonella Galizia, Alfonso Quarati, Emanuele Danovaro, Luca Roverelli, Gabriele Zereik, Dieter August Kranzlmüller, Michael Schiffers, Nils gentschen Felde, Christian Straube, Olivier Caumontz, Évelyne Richard, Luís Garrote, Quillon Harpham, Bert Jagers, Vladimir Dimitrijević, Ljiljana Đekić, Elisabetta Fiori, Fabio Delogu · 2014
The distributed research infrastructure for hydrometeorology (DRIHM) project focuses on the development of an e-Science infrastructure to provide end-to-end hydro meteorological research (HMR) services (models, data, and post processing tools) by exploiting HPC, Grid and Cloud facilities. In particular, the DRIHM infrastructure supports the execution and analysis of high-resolution simulations through the definition of workflows composed by heterogeneous HMR models in a scalable and interoperable way, while hiding all the low level complexities. This contribution gives insights into best practices adopted to satisfy the requirements of an emerging multidisciplinary scientific community composed of earth and atmospheric scientists. To this end, DRIHM supplies innovative services leveraging high performance and distributed computing resources. Hydro meteorological requirements shape this IT infrastructure through an iterative "learning-by-doing" approach that permits tight interactions between the application community and computer scientists, leading to the development of a flexible, extensible, and interoperable framework.