publication . Preprint . Article . 2017

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

DataCloud Collaboration; Salomoni, Davide; Campos, Isabel; Gaido, Luciano; de Lucas, Jesus Marco; Solagna, Peter; Gomes, Jorge; Matyska, Ludek; Fuhrman, Patrick; Hardt, Marcus; ...
Open Access English
  • Published: 06 Nov 2017
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.
39 pages, 15 figures.Version accepted in Journal of Grid Computing
Persistent Identifiers
free text keywords: Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC), FOS: Computer and information sciences
  • EGI Federation
Funded by
EC| INDIGO-DataCloud
INtegrating Distributed data Infrastructures for Global ExplOitation
  • Funder: European Commission (EC)
  • Project Code: 653549
  • Funding stream: H2020 | RIA
24 research outcomes, page 1 of 3
24 research outcomes, page 1 of 3
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