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dc.contributor.authorCedillo Orellana, Irene Priscila
dc.contributor.authorInsfran, Emilio
dc.contributor.authorAbrahao Mara, Silvia
dc.date.accessioned2023-01-17T19:16:17Z-
dc.date.available2023-01-17T19:16:17Z-
dc.date.issued2022
dc.identifier.issn16601769
dc.identifier.urihttp://dspace.ucuenca.edu.ec/handle/123456789/40755-
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85141793443&doi=10.5381%2fjot.2022.21.04.a1&origin=inward&txGid=720ad20f33b8d678e42be1dbfadbbf2d
dc.description.abstractAmbient Assisted Living (AAL) has become an important domain that provides software systems and services to support and improve people’s daily quality of life. Yet, it has not achieved large market penetration. Existing works suggest that this is primarily due to not sufficiently addressing the quality requirements posed by healthcare organizations. In particular, there is a lack of comprehensive frameworks that allow the assessment of the quality of AAL systems. In previous work, we introduced a method for monitoring cloud services using models at runtime (MoS@RT), which allows the monitoring requirements or the metric operationalizations of these requirements to be changed at runtime without the modification of the underlying infrastructure. The method and its supporting infrastructure have been successfully applied in the monitoring of cloud services, but further evaluation in other domains is needed. In this paper, we report a case study on the use of MoS@RT to monitor cloud services in an AAL environment aimed at supporting the elderly’s well-being. The results suggest that relevant quality attributes of AAL systems can be adequately monitored using MoS@RT and that the report generated by the monitoring infrastructure is useful for service providers and customers to help them ensure that cloud services meet the required levels of quality.
dc.language.isoes_ES
dc.sourceJournal of Object Technology
dc.subjectModels at runtime
dc.subjectAmbient assisted living
dc.subjectCase study
dc.subjectQuality of service
dc.subjectServices monitoring
dc.subjectSoftware as a service
dc.titleMonitoring cloud services through models at runtime: a case in an ambient assisted living environment
dc.typeARTÍCULO
dc.ucuenca.idautor0000-0003-0855-5564 Ver el perfil ORCID de este autor
dc.ucuenca.idautor0000-0003-3580-2014
dc.ucuenca.idautor0102815842
dc.identifier.doi10.5381/jot.2022.21.04.a1
dc.ucuenca.versionVersión publicada
dc.ucuenca.areaconocimientounescoamplio07 - Ingeniería, Industria y Construcción
dc.ucuenca.afiliacionInsfran, E., Universitat Politècnica de València, Valencia, España
dc.ucuenca.afiliacionAbrahao, S., Universitat Politècnica de València, Valencia, España
dc.ucuenca.afiliacionCedillo, I., Universidad de Cuenca, Cuenca, Ecuador
dc.ucuenca.correspondenciaCedillo Orellana, Irene Priscila, priscila.cedillo@ucuenca.edu.ec
dc.ucuenca.volumenVolumen 21, número 4
dc.ucuenca.indicebibliograficoSCOPUS
dc.ucuenca.factorimpacto0.315
dc.ucuenca.cuartilQ4
dc.ucuenca.numerocitaciones0
dc.ucuenca.areaconocimientofrascatiamplio2. Ingeniería y Tecnología
dc.ucuenca.areaconocimientofrascatiespecifico2.10 NanoTecnología
dc.ucuenca.areaconocimientofrascatidetallado2.10.2 Nano-Procesos [Aplicaciones a Nano-Escala]
dc.ucuenca.areaconocimientounescoespecifico071 - Ingeniería y Profesiones Afines
dc.ucuenca.areaconocimientounescodetallado0714 - Electrónica y Automatización
dc.ucuenca.urifuentehttps://www.jot.fm/
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