INDIGO-DataCloud: A data and computing platform to facilitate seamless access to e-infrastructures

Date Issued
2017
Author(s)
Salomoni, Davide
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Campos, Isabel
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Gaido, Luciano
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de Lucas, Jesus Marco
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Solagna, Peter
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Gomes, Jorge
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Matyska, Ludek
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Fuhrman, Patrick
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Hardt, Marcus
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Donvito, Giacinto
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Dutka, Lukasz
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Plociennik, Marcin
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Barbera, Roberto
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Blanquer, Ignacio
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Ceccanti, Andrea
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David, Mario
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Duma, Cristina
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López-García, Alvaro
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Moltó, Germán
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Orviz, Pablo
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Sustr, Zdenek
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Viljoen, Matthew
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Aguilar, Fernando
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Alves, Luis
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Antonacci, Marica
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Bagnasco, Stefano
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Bonvin, Alexandre M. J. J.
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Bruno, Riccardo
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Cetinic, Eva
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Chen, Yin
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Chiarello, Fabrizio
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Dal Pra, Stefano
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Davidovic, Davor
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Dorigo, Alvise
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Ertl, Benjamin
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Fanzago, Federica
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Fargetta, Marco
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Fiore, Sandro
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Kurkcuoglu, Zeynep
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Lloret, Lara
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Martins, Joao
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Nuzzo, Alessandra
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Nassisi, Paola
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Palazzo, Cosimo
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Pina, Joao
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Segatta, Matteo
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Sgaravatto, Massimo
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Taneja, Sonia
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Tangaro, Marco Antonio
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Urbaniak, Michal
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Vallero, Sara
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Verlato, Marco
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Wegh, Bas
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Zaccolo, Valentina
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Zambelli, Federico
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Zangrando, Lisa
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Zani, Stefano
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Zok, Tomasz
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.
Funding(s)
Uri
Ads BibCode
2017arXiv171101981I
Rights
open.access
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