Authors: Davide Salomoni, Isabel Campos, Luciano Gaido, J. Marco de Lucas, P. Solagna, Jorge Gomes, Luděk Matyska, P. Fuhrman, Marcus Hardt, Giacinto Donvito, Lukasz Dutka, Marcin Plociennik, Roberto Barbera, Ignacio Blanquer, Andrea Ceccanti, Eva Cetinic, Mario David, Cristina Duma, Álvaro López-García, Germán Moltó, Pablo Orviz, Zdeněk Šustr, M. Viljoen, Fernando Aguilar, L. Alves, Marica Antonacci, Louis Antonelli, S. Bagnasco, Alexandre M. J. J. Bonvin, Riccardo Bruno, Y. Chen, Alessandro Costa, Davor Davidović, B. Ertl, Marco Fargetta, Sandro Fiore, S. Gallozzi, Zeynep Kurkcuoglu, Lara Lloret, João Martins, Alessandra Nuzzo, Paola Nassisi, Cosimo Palazzo, João Murta Pina, Eva Sciacca, Daniele Spiga, Marco Antonio Tangaro, Michal Urbaniak, S. Vallero, Bas Wegh, Valentina Zaccolo, Federico Zambelli, Tomasz Zok

Venue: Journal of Grid Computing

Type: Publication

Abstract: This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces. The middleware developed allows to federate hybrid resources, to easily write, port and run scientific applications to the cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, inc... (read more)

DOI: 10.1007/s10723-018-9453-3 (Found 3 versions)