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A serverless gateway for event-driven machine learning inference in multiple clouds

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dc.contributor.author Naranjo-Delgado, Diana María es_ES
dc.contributor.author Risco, Sebastián es_ES
dc.contributor.author Moltó, Germán es_ES
dc.contributor.author Blanquer Espert, Ignacio es_ES
dc.date.accessioned 2023-12-05T19:03:33Z
dc.date.available 2023-12-05T19:03:33Z
dc.date.issued 2023-08-15 es_ES
dc.identifier.uri http://hdl.handle.net/10251/200525
dc.description.abstract [EN] Serverless computing and, in particular, the functions as a service model has become a convincing paradigm for the development and implementation of highly scalable applications in the cloud. This is due to the transparent management of three key functionalities: triggering of functions due to events, automatic provisioning and scalability of resources, and fine-grained pay-per-use. This article presents a serverless web-based scientific gateway to execute the inference phase of previously trained machine learning and artificial intelligence models. The execution of the models is performed both in Amazon Web Services and in on-premises clouds with the OSCAR framework for serverless scientific computing. In both cases, the computing infrastructure grows elastically according to the demand adopting scale-to-zero approaches to minimize costs. The web interface provides an improved user experience by simplifying the use of the models. The usage of machine learning in a computing platform that can use both on-premises clouds and public clouds constitutes a step forward in the adoption of serverless computing for scientific applications. es_ES
dc.description.sponsorship AI-SPRINT "Artificial Intelligence in Secure PRIvacy-preserving computing coN-Tinuum", Grant/Award Number: 101016577; DEEP-Hybrid-DataCloud "Designing and Enabling E-infrastructures for intensive Processing in a Hybrid DataCloud", Grant/Award Number: 777435; SERCLOCO, Grant/Award Numbers: MCIN/AEI/10.13039/501100011033, PID2020-113126RB-I00 es_ES
dc.language Inglés es_ES
dc.publisher John Wiley & Sons es_ES
dc.relation.ispartof Concurrency and Computation: Practice and Experience (Online) es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Cloud computing es_ES
dc.subject Function as a service es_ES
dc.subject Machine learning es_ES
dc.subject Serverless computing es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.title A serverless gateway for event-driven machine learning inference in multiple clouds es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1002/cpe.6728 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-113126RB-I00/ES/COMPUTACION CIENTIFICA SERVERLESS A TRAVES DEL HIBRIDO CONTINUO CLOUD/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/101016577/EU es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/777435/EU es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica es_ES
dc.description.bibliographicCitation Naranjo-Delgado, DM.; Risco, S.; Moltó, G.; Blanquer Espert, I. (2023). A serverless gateway for event-driven machine learning inference in multiple clouds. Concurrency and Computation: Practice and Experience (Online). 35(18):1-17. https://doi.org/10.1002/cpe.6728 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1002/cpe.6728 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 17 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 35 es_ES
dc.description.issue 18 es_ES
dc.identifier.eissn 1532-0634 es_ES
dc.relation.pasarela S\452114 es_ES
dc.contributor.funder AGENCIA ESTATAL DE INVESTIGACION es_ES
dc.contributor.funder COMISION DE LAS COMUNIDADES EUROPEA es_ES
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