Scientific Data Spaces – Experiences from the EGI-ACE project
2024, Open Research Europe, Volume 4 - number 136, doi: 10.12688/openreseurope.17418.1
Filtering by author: Antonio Fabrizio
A Graph Data Model-based Micro-Provenance Approach for Multi-level Provenance Exploration in End-to-End Climate Workflows
Fiore S., Rampazzo M., Elia D., Sacco L., Antonio F., Nassisi P.
2023, IEEE, IEEE International Conference on Big Data (BigData), Sorrento, Italy, 2023, pp. 3332-3339, doi: 10.1109/BigData59044.2023.10386983
A Data Space for Climate Science in the European Open Science Cloud
Elia D., Antonio F., Fiore S., Nassisi P., Aloisio G.
2023, Computing in Science & Engineering, vol. 25, no. 1, pp. 7-15, Jan.-Feb. 2023, doi: 10.1109/MCSE.2023.3274047
Coordinating an operational data distribution network for CMIP6 data
Petrie R., Denvil S., Ames S., Levavasseur G., Fiore S., Allen C., Antonio F., Berger K., Bretonnière P.-A., Cinquini L., Dart E., Dwarakanath P., Druken K., Evans B., Franchistéguy L., Gardoll S., Gerbier E., Greenslade M., Hassell D., Iwi A., Juckes M., Kindermann S., Lacinski L., Mirto M., Nasser A. B., Nassisi P., Nienhouse E., Nikonov S., Nuzzo A., Richards C., Ridzwan S., Rixen M., Serradell K., Snow K., Stephens A., Stockhause M., Vahlenkamp H., Wagner R.
2021, Geoscientific Model Development, Volume 14, Issue 1, pp. 629–644, doi: 10.5194/gmd-14-629-2021, 2021
Towards High Performance Data Analytics for Climate Change
Fiore S., Elia D., Palazzo C., Antonio F., D'Anca A., Foster I. , Aloisio G.
2019, Weiland M., Juckeland G., Alam S., Jagode H. (eds) High Performance Computing. ISC High Performance 2019, Lecture Notes in Computer Science, vol 11887. Springer, Cham, doi: 10.1007/978-3-030-34356-9_20
Towards an Open (Data) Science Analytics-Hub for Reproducible Multi-Model Climate Analysis at Scale
Fiore S., Elia D., Palazzo C., D'Anca A., Antonio F., Williams D.N., Foster I.,Aloisio G.
2018, Proceedings of 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 10-13 December 2018, pp. 3226-3234, doi: 10.1109/BigData.2018.8622205