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.

INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures / Salomoni, D.; Campos, I.; Gaido, L.; de Lucas, J. M.; Solagna, P.; Gomes, J.; Matyska, L.; Fuhrman, P.; Hardt, M.; Donvito, G.; Dutka, L.; Plociennik, M.; Barbera, R.; Blanquer, I.; Ceccanti, A.; Cetinic, E.; David, M.; Duma, C.; Lopez-Garcia, A.; Molto, G.; Orviz, P.; Sustr, Z.; Viljoen, M.; Aguilar, F.; Alves, L.; Antonacci, M.; Antonelli, L. A.; Bagnasco, S.; Bonvin, A. M. J. J.; Bruno, R.; Chen, Y.; Costa, A.; Davidovic, D.; Ertl, B.; Fargetta, M.; Fiore, S.; Gallozzi, S.; Kurkcuoglu, Z.; Lloret, L.; Martins, J.; Nuzzo, A.; Nassisi, P.; Palazzo, C.; Pina, J.; Sciacca, E.; Spiga, D.; Tangaro, M.; Urbaniak, M.; Vallero, S.; Wegh, B.; Zaccolo, V.; Zambelli, F.; Zok, T.. - In: JOURNAL OF GRID COMPUTING. - ISSN 1570-7873. - 16:(2018), pp. 381-408. [10.1007/s10723-018-9453-3]

INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures

Costa A.;Fiore S.;Zambelli F.;
2018-01-01

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.
2018
Salomoni, D.; Campos, I.; Gaido, L.; de Lucas, J. M.; Solagna, P.; Gomes, J.; Matyska, L.; Fuhrman, P.; Hardt, M.; Donvito, G.; Dutka, L.; Plociennik,...espandi
INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures / Salomoni, D.; Campos, I.; Gaido, L.; de Lucas, J. M.; Solagna, P.; Gomes, J.; Matyska, L.; Fuhrman, P.; Hardt, M.; Donvito, G.; Dutka, L.; Plociennik, M.; Barbera, R.; Blanquer, I.; Ceccanti, A.; Cetinic, E.; David, M.; Duma, C.; Lopez-Garcia, A.; Molto, G.; Orviz, P.; Sustr, Z.; Viljoen, M.; Aguilar, F.; Alves, L.; Antonacci, M.; Antonelli, L. A.; Bagnasco, S.; Bonvin, A. M. J. J.; Bruno, R.; Chen, Y.; Costa, A.; Davidovic, D.; Ertl, B.; Fargetta, M.; Fiore, S.; Gallozzi, S.; Kurkcuoglu, Z.; Lloret, L.; Martins, J.; Nuzzo, A.; Nassisi, P.; Palazzo, C.; Pina, J.; Sciacca, E.; Spiga, D.; Tangaro, M.; Urbaniak, M.; Vallero, S.; Wegh, B.; Zaccolo, V.; Zambelli, F.; Zok, T.. - In: JOURNAL OF GRID COMPUTING. - ISSN 1570-7873. - 16:(2018), pp. 381-408. [10.1007/s10723-018-9453-3]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/280242
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