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

Authors :
Collaboration, INDIGO-DataCloud
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
Pra, Stefano Dal
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
Publication Year :
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.<br />Comment: 39 pages, 15 figures.Version accepted in Journal of Grid Computing

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1711.01981
Document Type :
Working Paper
Full Text :
https://doi.org/10.1007/s10723-018-9453-3