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dc.contributor.authorEsquembre, Francisco-
dc.contributor.authorChacón, Jesús-
dc.contributor.authorSaenz, Jacobo-
dc.contributor.authorVega, Jesús-
dc.contributor.authorDormido-Canto, Sebastián-
dc.contributor.otherFacultades, Departamentos, Servicios y Escuelas::Departamentos de la UMU::Matemáticases
dc.date.accessioned2024-01-23T12:18:56Z-
dc.date.available2024-01-23T12:18:56Z-
dc.date.issued2023-10-26-
dc.identifier.citationFusion Engineering and Design 197 (2023) 114049es
dc.identifier.issnPrint: 0920-3796-
dc.identifier.issnElectronic: 1873-7196-
dc.identifier.urihttp://hdl.handle.net/10201/137574-
dc.description© 2023. The authors. This document is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by /4.0/ This document is the published version of a published work that appeared in final form in Fusion Engineering and Design .es
dc.description.abstractDaily work of Fusion Data Research (FDR) scientists faces three practical challenges: (i) getting access to vast amounts of validated, curated, and (ideally) annotated discharge data, (ii) applying a wide variety of standard, domain-specific, and home-made analysis and visualization software libraries and routines, and (iii) using fast, specialized, and not easy to obtain hardware and software installations. This paper introduces a novel web platform that addresses these three challenges in a federated way. Based on a client–server architecture, the new platform allows for easy use and exchange of curated data, validated analysis and visualization routines, and even networked hardware and software installations among the FDR community. This exchange goes beyond the mere use of a code repository, but facilitates the creation of an actual ready-to-use network of computers which can be used remotely to configure and perform data analysis. The network functions in a federated way, in which each member of the community contributes, using the same web platform, with its data, programming experience, and hardware and software availability. The platform is open source.es
dc.formatapplication/pdfes
dc.format.extent5es
dc.languageenges
dc.publisherElsevieres
dc.relationThis work was supported in part by the Spanish Ministry of Sci- ence and Innovation under Projects PID2019-108377RB-C31, PID2019- 108377RB-C32, PID2022-137680OB-C31, and PID2022-137680OB- C32.es
dc.rightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectCollaborative environmentes
dc.subjectDistributed systemes
dc.subjectHigh-performance computinges
dc.subjectMachine learninges
dc.subjectNuclear fusiones
dc.subject.otherCDU::6 - Ciencias aplicadases
dc.titleA programmable web platform for distributed access, analysis, and visualization of dataes
dc.typeinfo:eu-repo/semantics/articlees
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0920379623006294?via%3Dihubes
dc.identifier.doihttps://doi.org/10.1016/j.fusengdes.2023.114049-
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