Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/26897
Title: | INDIGO-DataCloud: A data and computing platform to facilitate seamless access to e-infrastructures | Authors: | Salomoni, Davide Campos, Isabel Gaido, Luciano de Lucas, Jesus Marco Solagna, Peter Gomes, Jorge Matyska, Ludek Fuhrman, Patrick Hardt, Marcus Donvito, Giacinto Dutka, Lukasz Plociennik, Marcin Barbera, Roberto Blanquer, Ignacio Ceccanti, Andrea David, Mario Duma, Cristina López-García, Alvaro Moltó, Germán Orviz, Pablo Sustr, Zdenek Viljoen, Matthew Aguilar, Fernando Alves, Luis Antonacci, Marica ANTONELLI, Lucio Angelo Bagnasco, Stefano Bonvin, Alexandre M. J. J. Bruno, Riccardo Cetinic, Eva Chen, Yin Chiarello, Fabrizio COSTA, Alessandro Dal Pra, Stefano Davidovic, Davor Dorigo, Alvise Ertl, Benjamin Fanzago, Federica Fargetta, Marco Fiore, Sandro GALLOZZI, Stefano Kurkcuoglu, Zeynep Lloret, Lara Martins, Joao Nuzzo, Alessandra Nassisi, Paola Palazzo, Cosimo Pina, Joao SCIACCA, Eva Segatta, Matteo Sgaravatto, Massimo SPIGA, Daniele Taneja, Sonia Tangaro, Marco Antonio Urbaniak, Michal Vallero, Sara Verlato, Marco Wegh, Bas Zaccolo, Valentina Zambelli, Federico Zangrando, Lisa Zani, Stefano Zok, Tomasz |
Issue Date: | 2017 | 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, including those provided by EGI, EUDAT, and Helix Nebula, to integrate their existing services and make them available through AAI services compliant with GEANT interfederation policies, thus guaranteeing transparency and trust in the provisioning of such services. Our middleware facilitates the execution of applications using containers on Cloud and Grid based infrastructures, as well as on HPC clusters. Our developments are freely downloadable as open source components, and are already being integrated into many scientific applications. | URI: | http://hdl.handle.net/20.500.12386/26897 | Bibcode ADS: | 2017arXiv171101981I | Fulltext: | open |
Appears in Collections: | 4.05 Working papers |
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1711.01981.pdf | 3.75 MB | Adobe PDF | View/Open |
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