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Self-organized laboratories for smart campus

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dc.contributor.authorHuertas Celdrán, Alberto
dc.contributor.authorGarcía Clemente, Félix J.
dc.contributor.authorSáenz Valiente, Jacobo
dc.contributor.authorTorre Cubillo, Luis de la
dc.contributor.authorSalzmann, Christophe
dc.contributor.authorGillet, Denis
dc.date.accessioned2025-07-02T12:35:04Z
dc.date.available2025-07-02T12:35:04Z
dc.date.issued2019-09-10
dc.descriptionThis is an Accepted Manuscript of an article published by IEEE (Institute of Electrical and Electronic Engineers) in "IEEE Transactions on Learning Technologies, vol. 13, no. 2, pp. 404-416, 1 April-June 2020", available at: https://doi.org/10.1109/TLT.2019.2940571 Este es el manuscrito aceptado del artículo publicado por IEEE (Institute of Electrical and Electronic Engineers) en "IEEE Transactions on Learning Technologies, vol. 13, no. 2, pp. 404-416, 1 April-June 2020", disponible en línea: https://doi.org/10.1109/TLT.2019.2940571
dc.description.abstractA smart campus provides students who are geographically scattered with online tools to get access to learning resources and laboratories. Although these remote laboratories have the potential and capabilities to implement different learning experiments, most of them are configured in a static fashion, being able to serve only one experiment for a given period of time. This lack of adaptability and flexibility causes long waiting queues of students in certain overloaded remote laboratories, while others are underused. To overcome this limitation, a smart campus can incorporate new techniques and paradigms such as Network function virtualization (NFV) and Software-defined networking (SDN), which are rapidly modifying current cloud services and applications to provide autonomous and adaptive solutions. In this context, the main contribution of this paper is an SDN/NFV-based architecture with autonomic capabilities to adapt to the remote laboratories configuration according to the end-user demand. The proposed architecture will be able to optimize computing resources to ensure the users' quality of service in a smart campus with remote laboratories. A use case with a remote laboratory, based on the control of a servo motor, shows how our solution can dynamically change the lab service under specific circumstances. Finally, experiments using diverse configurations and service descriptions show the performance and suitability of the proposal.en
dc.description.versionversión aceptada
dc.identifier.citationA. H. Celdrán, F. J. G. Clemente, J. Saenz, L. De La Torre, C. Salzmann and D. Gillet, "Self-Organized Laboratories for Smart Campus," in IEEE Transactions on Learning Technologies, vol. 13, no. 2, pp. 404-416, 1 April-June 2020, doi: 10.1109/TLT.2019.2940571
dc.identifier.doihttps://doi.org/10.1109/TLT.2019.2940571
dc.identifier.issn1939-1382
dc.identifier.urihttps://hdl.handle.net/20.500.14468/26978
dc.journal.issue2
dc.journal.titleIEEE Transactions on Learning Technologies
dc.journal.volume13
dc.language.isoen
dc.page.final416
dc.page.initial404
dc.publisherIEEE (Institute of Electrical and Electronic Engineers)
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInformática y Automática
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.uriAtribución-NoComercial-SinDerivadas 4.0 Internacional
dc.subject1203.17 Informática
dc.subject12 Matemáticas
dc.subject33 Ciencias Tecnológicas
dc.subject.keywordsSmart Campusen
dc.subject.keywordsRemote Laboratoriesen
dc.subject.keywordsVirtualizationen
dc.titleSelf-organized laboratories for smart campusen
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublicationf0806e31-cd8b-4ac3-9246-5a184f79b1d9
relation.isAuthorOfPublicationd3cfe1c5-d5e5-459e-8ed3-cb1ebb07639e
relation.isAuthorOfPublication.latestForDiscoveryf0806e31-cd8b-4ac3-9246-5a184f79b1d9
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