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Title

INDIGO-DataCloud: a platform to facilitate seamless access to e-infrastructures

AuthorsSalomoni, Davide; Campos, Isabel ; Gaido, Luciano; Marco, Jesús ; Solagna, P.; Gomes, Jorge; Matyska, L.; Fuhrmann, Patrick; Hardt, Marcus; Donvito, Giacinto; Dutka, L.; Plociennik, Marcin; Barbera, R.; Blanquer, Ignacio ; Ceccanti, Andrea; Cetinic, E.; David, Mario; Duma, Cristina; López García, Álvaro ; Moltó, Germán; Orviz, Pablo ; Šustr, Zdenêk; Viljoen, M.; Aguilar, Fernando ; Alves, L.; Antonacci, Marica; Antonelli, L.; Bagnasco, Stefano; Bonvin, A. M. J. J.; Bruno, R.; Chen, Y.; Costa, A.; Davidovic, D.; Ertl, B.; Fargetta, M.; Fiore, S.; Gallozzi, S.; Kurkcuoglu, Z.; Lloret Iglesias, Lara ; Martins, João; Nuzzo, A.; Nassisi, P.; Palazzo, C.; Pina, Joâo; Sciacca, E.; Spiga, Daniele; Tangaro, M.; Urbaniak, M.; Vallero, Sara; Wegh, B.; Zaccolo, Valentina; Zambelli, F.; Zok, T.
KeywordsCloud computing
Platform as a service
Containers
Software management
Advanced user interfaces
Authorization and authentication
Issue Date2018
PublisherSpringer Nature
CitationJournal of Grid Computing 16(3): 381-408 (2018)
AbstractThis 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.
Publisher version (URL)https://doi.org/10.1007/s10723-018-9453-3
URIhttp://hdl.handle.net/10261/168382
DOI10.1007/s10723-018-9453-3
ISSN1570-7873
E-ISSN1572-9184
Appears in Collections:(IFCA) Artículos
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