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Running HTC and HPC applications opportunistically across private, academic and public clouds

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Running HTC and HPC applications opportunistically across private, academic and public clouds

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dc.contributor.author Lahiff, Andrew es_ES
dc.contributor.author de Witt, Shaun es_ES
dc.contributor.author Caballer Fernández, Miguel es_ES
dc.contributor.author La Rocca, Giuseppe es_ES
dc.contributor.author Pamela,Stanislas es_ES
dc.contributor.author Coster, David es_ES
dc.date.accessioned 2022-01-18T08:12:38Z
dc.date.available 2022-01-18T08:12:38Z
dc.date.issued 2020-11-16 es_ES
dc.identifier.issn 2100-014X es_ES
dc.identifier.uri http://hdl.handle.net/10251/179827
dc.description.abstract [EN] The Fusion Science Demonstrator in the European Open Science Cloud for Research Pilot Project aimed to demonstrate that the fusion community can make use of distributed cloud resources. We developed a platform, Prominence, which enables users to transparently exploit idle cloud resources for running scientific workloads. In addition to standard HTC jobs, HPC jobs such as multi-node MPI are supported. All jobs are run in containers to ensure they will reliably run anywhere and are reproduceable. Cloud infrastructure is invisible to users, as all provisioning, including extensive failure handling, is completely automated. On-premises cloud resources can be utilised and at times of peak demand burst onto external clouds. In addition to the traditional ¿cloud-bursting¿ onto a single cloud, Prominence allows for bursting across many clouds in a hierarchical manner. Job requirements are taken into account, so jobs with special requirements, e.g. high memory or access to GPUs, are sent only to appropriate clouds. Here we describe Prominence, its architecture, the challenges of using many clouds opportunistically and report on our experiences with several fusion use cases. es_ES
dc.description.sponsorship The European Open Science Cloud for Research pilot project was funded by the European Commission, DG Research & Innovation under contract no. 739563. This work benefited from services and resources provided by the fedcloud.egi.eu Virtual Organization, supported by the national resource providers of the EGI Federation. We acknowledge computing resources supplied by the IRIS (STFC) Consortium. es_ES
dc.language Inglés es_ES
dc.publisher EDP Sciences es_ES
dc.relation.ispartof EPJ Web of Conferences, Volume 245 (2020). 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019 es_ES
dc.rights Reconocimiento (by) es_ES
dc.title Running HTC and HPC applications opportunistically across private, academic and public clouds es_ES
dc.type Comunicación en congreso es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1051/epjconf/202024507032 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/739563/EU/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Instrumentación para Imagen Molecular - Institut d'Instrumentació per a Imatge Molecular es_ES
dc.description.bibliographicCitation Lahiff, A.; De Witt, S.; Caballer Fernández, M.; La Rocca, G.; Pamela, S.; Coster, D. (2020). Running HTC and HPC applications opportunistically across private, academic and public clouds. EDP Sciences. 1-8. https://doi.org/10.1051/epjconf/202024507032 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019) es_ES
dc.relation.conferencedate Noviembre 04-08,2019 es_ES
dc.relation.conferenceplace Adelaide, Australia es_ES
dc.relation.publisherversion https://doi.org/10.1051/epjconf/202024507032 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 8 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\422782 es_ES
dc.contributor.funder European Commission es_ES


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