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

handle: 10261/168382 , 10251/120673 , 1874/373069
INDIGO-DataCloud: a 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.
INDIGO-Datacloud has been funded by the European Commision H2020 research and innovation program under grant agreement RIA 653549.
Peer reviewed
Microsoft Academic Graph classification: Computer science Platform as a service Cloud computing Software Information system business.industry E infrastructure Software engineering business
Dewey Decimal Classification: ddc:004
Advanced user interfaces, Computer Networks and Communications, Authorization and authentication, Containers, CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL, Cloud computing, Cloud Computing ; Platform as a Service ; Containers ; Software Management ; Advanced User Interfaces ; Authorization and Authentication, Advanced user interfaces; Authorization and authentication; Cloud computing; Containers; Platform as a service; Software management, DATA processing & computer science, Computing, Platform as a service, 004, Hardware and Architecture, Software management, Software, Information Systems
Advanced user interfaces, Computer Networks and Communications, Authorization and authentication, Containers, CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL, Cloud computing, Cloud Computing ; Platform as a Service ; Containers ; Software Management ; Advanced User Interfaces ; Authorization and Authentication, Advanced user interfaces; Authorization and authentication; Cloud computing; Containers; Platform as a service; Software management, DATA processing & computer science, Computing, Platform as a service, 004, Hardware and Architecture, Software management, Software, Information Systems
Microsoft Academic Graph classification: Computer science Platform as a service Cloud computing Software Information system business.industry E infrastructure Software engineering business
Dewey Decimal Classification: ddc:004
64 references, page 1 of 7
1. Garc´ıa, A.L., Castillo, E.F.-d., Puel, M.: Identity federation with VOMS in cloud infrastructures. In: 2013 IEEE 5Th International Conference on Cloud Computing Technology and Science, pp 42-48 (2013)
2. Chadwick, D.W., Siu, K., Lee, C., Fouillat, Y., Germonville, D.: Adding federated identity management to OpenStack. Journal of Grid Computing 12(1), 3-27 (2014) [OpenAIRE]
3. Craig, A.L.: A design space review for general federation management using keystone. In: Proceedings of the 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, pp 720-725. IEEE Computer Society (2014)
4. Pustchi, N., Krishnan, R., Sandhu, R.: Authorization federation in iaas multi cloud. In: Proceedings of the 3rd International Workshop on Security in Cloud Computing, pp 63-71. ACM (2015)
5. Lee, C.A., Desai, N., Brethorst, A.: A Keystone-Based Virtual Organization Management System. In: 2014 IEEE 6Th International Conference On Cloud Computing Technology and Science (Cloudcom), pp 727-730. IEEE (2014)
6. Castillo, E.F.-d., Scardaci, D., Garc´ıa, A.L.: The EGI Federated Cloud e-Infrastructure. Procedia Computer Science 68, 196-205 (2015)
7. AARC project: AARC Blueprint Architecture, see https:// aarc-project.eu/architecture. Technical report (2016)
8. Oesterle, F., Ostermann, S., Prodan, R., Mayr, G.J.: Experiences with distributed computing for meteorological applications: grid computing and cloud computing. Geosci. Model Dev. 8(7), 2067-2078 (2015) [OpenAIRE]
9. Plasencia, I.C., Castillo, E.F.-d., Heinemeyer, S., Garc´ıa, A.L., Pahlen, F., Borges, G.: Phenomenology tools on cloud infrastructures using OpenStack. The European Physical Journal C 73(4), 2375 (2013)
10. Boettiger, C.: An introduction to docker for reproducible research. ACM SIGOPS Operating Systems Review 49(1), 71-79 (2015)
23 Research products, page 1 of 3
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).56 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1% visibility views 515 download downloads 766 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).56 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.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1% Powered byBIP!
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- Funder: European Commission (EC)
- Project Code: 653549
- Funding stream: H2020 | RIA
- Funder: European Commission (EC)
- Project Code: 777536
- Funding stream: H2020 | RIA
- Karlsruhe Institute of Technology Germany
- Universitat Politècnica de València Spain
- University of Catania Italy
- National Institute for Astrophysics Italy
- Deutsches Elektronen-Synchrotron DESY Germany
- Spanish National Research Council Spain
- University of Cantabria Spain
- National Research Council Italy
- Helmholtz Association of German Research Centres Germany
- Institute of Biomembranes, Bioenergetics and Molecular Biotechnologies Italy
- Ruđer Bošković Institute Croatia
- UNIVERSITA DEGLI STUDI DI MILANO Italy
- University of Milan Italy
- University of Trento Italy
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.
INDIGO-Datacloud has been funded by the European Commision H2020 research and innovation program under grant agreement RIA 653549.
Peer reviewed