An Integrated Big and Fast Data Analytics Platform for Smart Urban Transportation Management
2019, IEEE Access, vol. 7, pp. 117652-117677, doi: 10.1109/ACCESS.2019.2936941
Filtering by author: Elia Donatello
A Re-Identification Risk-Based Anonymization Framework for Data Analytics Platforms
Silva H., Basso T., Moraes R.,Elia D., Fiore S.
2018, Proceedings of the 14th European Dependable Computing Conference, pp. 101-106, doi: 10.1109/EDCC.2018.00026
Alic A.S., Almeida J.M., Meira Jr. W., Guedes D.O., dos Santos W., Blanquer i.,Fiore S., Kozievitch N.P., Andrade N., Braz T., Brito A., Pires C.E.S., Antunes N., Vieira M., Silva P., Ardagna D., Fonseca K.V.O., Lezzi D.,Elia D., Moraes R., Basso T., Cavassin W.H.,
2018, Proceedings of the XIX Brazilian Symposium on Geoinformatics, pp. 1-12, AlicAMGSBFKABBP18
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
A Science gateway for biodiversity and climate change research
Elia D., Nuzzo A., Nassisi P., Fiore S., Blanquer I., Francisco V. B., Rufino I.A.A., Arie C.S., Niels S.A., De O. Galvao C., John E. de B.L.C., De Sousa-Baena M., P. Canhos V., Aloisio G.
2017, PeerJ Preprints, doi: 10.7287/peerj.preprints.2834v1
BioClimate: A Science Gateway for Climate Change and Biodiversity research in the EUBrazilCloudConnect project
Fiore S., Elia D., Blanquer I., Brasileiro F. V. , Nuzzo A., Nassisi P., Rufino I. A.A., Seijmonsbergen A. C., Anders A. C., Galvão C. de O. , Cunha J. E. de B.L. , Caballer M., Sousa-Baena M. S., Canhos V.P., Aloisio G.
2017, Future Generation Computer Systems, doi: 10.1016/j.future.2017.11.034
Big Data Analytics on Large-Scale Scientific Datasets in the INDIGO-DataCloud Project
Fiore S., Palazzo C., D'Anca A., Elia D., Londero E., Knapic C., Monna S., Marcucci N. M., Aguilar F., Plóciennik M., De Lucas J. E., Aloisio G.
2017, Proceedings of the Computing Frontiers Conference, CF'17, Pages 343-348, doi: 10.1145/3075564.3078884
On the Use of In-Memory Analytics Workflows to Computer eScience Indicators from Large Climate Datasets
D'Anca A., Palazzo C., Elia D., Fiore S., Bistinas I., Böttcher K., Bennett V., Aloisio G.
2017, Proceedings of the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGRID 2017, Pages 1035-1043, Madrid, Spain, doi: 10.1109/CCGRID.2017.132
Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the earth system grid federation eco-system
Fiore S., Plóciennik M., Doutriaux C. M., Palazzo C., Boutte J., Zok T., Elia D., Owsiak M., D'Anca A., Shaheen Z., Bruno R., Fargetta M., Caballer M., Moltó G., Blanquer I., Barbera R., David M., Donvito G., Williams D. N., Anantharaj V., Salomoni D., Aloisio G.
2016, 2016 IEEE International Conference on Big Data (Big Data), doi: 10.1109/BigData.2016.7840941
An in-memory based framework for scientific data analytics
Elia D., Fiore S., D'Anca A., Palazzo C., Foster I., Dean N. W.
2016, Proceedings of the ACM International Conference on Computing Frontiers (CF '16). ACM, New York, NY, USA, 424-429, doi: 10.5194/gmd-9-2115-2016, 2016