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

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, Eva Cetinic, 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, Yin Chen, Alessandro Costa, Davor Davidovic, Benjamin Ertl, Marco Fargetta, Sandro Fiore, Stefano Gallozzi, Zeynep Kurkcuoglu, Lara Lloret, Joao Martins, Alessandra Nuzzo, Paola Nassisi, Cosimo Palazzo, Joao Pina, Eva Sciacca, Daniele Spiga, M. Tangaro, Michal Urbaniak, Sara Vallero, Bas Wegh, Valentina Zaccolo, Federico Zambelli, and Tomasz Zok. INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures. Journal of Grid Computing, 16:381–408, Springer Netherlands, 9 2018.

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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.

BibTeX Entry

@article{Salomoni2018,
   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.},
   author = {Davide Salomoni and Isabel Campos and Luciano Gaido and Jesus Marco de Lucas and Peter Solagna and Jorge Gomes and Ludek Matyska and Patrick Fuhrman and Marcus Hardt and Giacinto Donvito and Lukasz Dutka and Marcin Plociennik and Roberto Barbera and Ignacio Blanquer and Andrea Ceccanti and Eva Cetinic and Mario David and Cristina Duma and Alvaro López-García and Germán Moltó and Pablo Orviz and Zdenek Sustr and Matthew Viljoen and Fernando Aguilar and Luis Alves and Marica Antonacci and Lucio Angelo Antonelli and Stefano Bagnasco and Alexandre M. J. J. Bonvin and Riccardo Bruno and Yin Chen and Alessandro Costa and Davor Davidovic and Benjamin Ertl and Marco Fargetta and Sandro Fiore and Stefano Gallozzi and Zeynep Kurkcuoglu and Lara Lloret and Joao Martins and Alessandra Nuzzo and Paola Nassisi and Cosimo Palazzo and Joao Pina and Eva Sciacca and Daniele Spiga and M. Tangaro and Michal Urbaniak and Sara Vallero and Bas Wegh and Valentina Zaccolo and Federico Zambelli and Tomasz Zok},
   doi = {10.1007/s10723-018-9453-3},
   isbn = {1072301894533},
   issn = {1570-7873},
   issue = {3},
   journal = {Journal of Grid Computing},
   keywords = {Advanced user interfaces,Authorization and authentication,Cloud computing,Containers,Platform as a service,Software management},
   month = {9},
   pages = {381-408},
   publisher = {Springer Netherlands},
   title = {INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures},
   volume = {16},
   url = {http://link.springer.com/10.1007/s10723-018-9453-3},
   year = {2018}
}