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INDIGO-DataCloud:A data and computing platform to facilitate seamless access to e-infrastructures
INDIGO-DataCloud:A data and computing platform to facilitate seamless access to e-infrastructures
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.
Comment: 39 pages, 15 figures.Version accepted in Journal of Grid Computing
- Utrecht University Netherlands
- Universitat Politècnica de València Spain
- Karlsruhe Institute of Technology Germany
- ISTITUTO NAZIONALE DI ASTROFISICA Italy
- Karlsruhe Institute of Technology, Library Germany
FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)
FOS: Computer and information sciences, Computer Science - Distributed, Parallel, and Cluster Computing, Distributed, Parallel, and Cluster Computing (cs.DC)
[14] S. Bagnasco, S. Vallero and V. Zaccolo CHEP 2016, Journal of Physics: Conference Series, Volume 898 (2017) [16] PRISMA: http://www.ponsmartcities-prisma.it/ [17] Opencityplatform: http://www.opencityplatform.eu [18] See https://www.openshift.com/ [19] See https://www.cloudfoundry.org/ [20] A Ceccanti, M Hardt, B Wegh, AP Millar, M Caberletti, E Vianello and S Licehammer J. Phys.: Conf. Ser. 898 02016
[21] See https://onedata.org/
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- Utrecht University Netherlands
- Universitat Politècnica de València Spain
- Karlsruhe Institute of Technology Germany
- ISTITUTO NAZIONALE DI ASTROFISICA Italy
- Karlsruhe Institute of Technology, Library Germany
- Karlsruhe Institute of Technology, Institute of Nanotechnology Germany
- National Institute for Astrophysics Italy
- Karlsruhe Institute of Technology (KIT) Germany
- Polytechnic University Valencia (UPV) Spain
- Deutsches Elektronen-Synchrotron DESY Germany
- Science and Technology Facilities Council United Kingdom
- Ruđer Bošković Institute Croatia
- FONDAZIONE CENTRO EURO-MEDITERRANEOSUI CAMBIAMENTI CLIMATICI Italy
- Ruder Boškovic Institute
- CESNET Czech Republic
- Science and Technology Facilities Council (STFC), UK United Kingdom
- Universitat Politècnica deValència Spain
- SCIENCE AND TECHNOLOGY FACILITIES COUNCIL United Kingdom
- Institut National de Physique Nucléaire et de Physique de Particules, Centre de Calcul France
- CESNET ZAJMOVE SDRUZENI PRAVNICKYCH OSOB Czech Republic
- Czech Education and Scientific Net work Czech Republic
- Institut National de Physique Nucléaire et de Physique des Particules France
- Laboratory of Instrumentation and Experimental Particles Physics Portugal
- Helmholtz Association of German Research Centres Germany
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.
Comment: 39 pages, 15 figures.Version accepted in Journal of Grid Computing