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arXiv · 1711.01981

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

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

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DataCloud Collaboration, Davide Salomoni, Isabel Campos, Luciano Gaido, Jesus Marco de Lucas, Peter Solagna, Jorge Gomes, Ludek Matyska, Patrick Fuhrman, Marcus Hardt, Giacinto Donvito, Lukasz Dutka, Marcin Plociennik, Roberto Barbera, Ignacio Blanquer, Andrea Ceccanti, Mario David, Cristina Duma, Alvaro López-García, Germán Moltó, Pablo Orviz, Zdenek Sustr, Matthew Viljoen, Fernando Aguilar, Luis Alves, Marica Antonacci, Lucio Angelo Antonelli, Stefano Bagnasco, Alexandre M. J. J. Bonvin, Riccardo Bruno, Eva Cetinic, Yin Chen, Fabrizio Chiarello, Alessandro Costa, Stefano Dal Pra, Davor Davidovic, Alvise Dorigo, Benjamin Ertl, Federica Fanzago, Marco Fargetta, Sandro Fiore, Stefano Gallozzi, Zeynep Kurkcuoglu, Lara Lloret, Joao Martins, Alessandra Nuzzo, Paola Nassisi, Cosimo Palazzo, Joao Pina, Eva Sciacca, Matteo Segatta, Massimo Sgaravatto, Daniele Spiga, Sonia Taneja, Marco Antonio Tangaro, Michal Urbaniak, Sara Vallero, Marco Verlato, Bas Wegh, Valentina Zaccolo, Federico Zambelli, Lisa Zangrando, Stefano Zani, Tomasz Zok. 2017-11-06. INDIGO-DataCloud:A data and computing platform to facilitate seamless access to e-infrastructures. https://doi.org/10.1007/s10723-018-9453-3

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