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dc.contributor.authorValdez Solis, Wilson Fernando-
dc.contributor.authorCedillo Orellana, Irene Priscila-
dc.contributor.authorTrujillo Orellana, Andrea Alexandra-
dc.contributor.authorOrellana Cordero, Marcos Patricio-
dc.date.accessioned2020-06-15T21:50:03Z-
dc.date.available2020-06-15T21:50:03Z-
dc.date.issued2019-
dc.identifier.isbn978-172815581-4-
dc.identifier.issn0000-0000-
dc.identifier.urihttps://ieeexplore.ieee.org/document/9052264-
dc.descriptionThe Internet of Things (IoT) is a current paradigm which can be part of several fields of application, and Healthcare is one of the most important. Ambient Assisted Living (AAL) is an important subfield in Healthcare. Also, services demand and network requirements of IoT systems due to the increase of connected devices and data flow overcharges Cloud. Fog Computing represents a new paradigm that lightens the network. Some applications use Fog Computing in order to reduce costs and improve performance of IoT applications. Healthcare is one of them and the implementation of Fog Computing architectures inside those systems is a new trend nowadays. The importance of having a data infrastructure in this kind of IoT systems is evident because of the relevance of the data. In this paper is presented a Data Infrastructure for Managing Information Obtained from Ambient Assisted Living. The model provides the data flow starting in the data reading in the IoT devices and ending in the Cloud by crossing Fog Computing Layer. The model considers communication protocols, security features and relationship between elements which take part in an AAL system. Moreover, the model was developed using Eclipse Modeling Tool and validated in the same tool by using an instantiation of the main classes of the model.-
dc.description.abstractThe Internet of Things (IoT) is a current paradigm which can be part of several fields of application, and Healthcare is one of the most important. Ambient Assisted Living (AAL) is an important subfield in Healthcare. Also, services demand and network requirements of IoT systems due to the increase of connected devices and data flow overcharges Cloud. Fog Computing represents a new paradigm that lightens the network. Some applications use Fog Computing in order to reduce costs and improve performance of IoT applications. Healthcare is one of them and the implementation of Fog Computing architectures inside those systems is a new trend nowadays. The importance of having a data infrastructure in this kind of IoT systems is evident because of the relevance of the data. In this paper is presented a Data Infrastructure for Managing Information Obtained from Ambient Assisted Living. The model provides the data flow starting in the data reading in the IoT devices and ending in the Cloud by crossing Fog Computing Layer. The model considers communication protocols, security features and relationship between elements which take part in an AAL system. Moreover, the model was developed using Eclipse Modeling Tool and validated in the same tool by using an instantiation of the main classes of the model.-
dc.language.isoes_ES-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.source2019 International Conference on Information Systems and Computer Science (INCISCOS)-
dc.subjectAssisted living-
dc.subjectCloud computing-
dc.subjectCost reduction-
dc.subjectInternet of things-
dc.subjectProtocols-
dc.titleA data infrastructure for managing information obtained from ambient assisted living-
dc.typeARTÍCULO DE CONFERENCIA-
dc.description.cityQuito-
dc.ucuenca.idautor0301753703-
dc.ucuenca.idautor0102815842-
dc.ucuenca.idautor1401328180-
dc.ucuenca.idautor0102668209-
dc.identifier.doi10.1109/INCISCOS49368.2019.00018-
dc.ucuenca.embargoend2050-12-31-
dc.ucuenca.versionVersión publicada-
dc.ucuenca.embargointerno2050-12-31-
dc.ucuenca.areaconocimientounescoamplio06 - Información y Comunicación (TIC)-
dc.ucuenca.afiliacionValdez, W., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador-
dc.ucuenca.afiliacionCedillo, I., Universidad de Cuenca, Departamento de Ciencias de la Computación, Cuenca, Ecuador-
dc.ucuenca.afiliacionTrujillo, A., Universidad del Azuay, Cuenca, Ecuador-
dc.ucuenca.afiliacionOrellana, M., Universidad del Azuay, Cuenca, Ecuador-
dc.ucuenca.volumenVolumen 0, número 0-
dc.ucuenca.indicebibliograficoSCOPUS-
dc.ucuenca.numerocitaciones0-
dc.ucuenca.areaconocimientofrascatiamplio2. Ingeniería y Tecnología-
dc.ucuenca.paisECUADOR-
dc.ucuenca.conferenciaINCISCOS 2019 - 4th International Conference on Information Systems and Computer Science-
dc.ucuenca.areaconocimientofrascatiespecifico2.11 Otras Ingenierias y Tecnologías-
dc.ucuenca.areaconocimientofrascatidetallado2.11.2 Otras Ingenierias y Tecnologías-
dc.ucuenca.areaconocimientounescoespecifico061 - Información y Comunicación (TIC)-
dc.ucuenca.areaconocimientounescodetallado0613 - Software y Desarrollo y Análisis de Aplicativos-
dc.ucuenca.fechainicioconferencia2019-11-20-
dc.ucuenca.fechafinconferencia2019-11-22-
dc.ucuenca.organizadorconferenciaUniversidad UTE y Universidad de Alicante-
dc.ucuenca.comiteorganizadorconferenciaRicardo Hidalgo Ottolenghi, Juan Carlos Rivera y Rosa Morales Carrera-
dc.ucuenca.urifuentehttps://ieeexplore.ieee.org/xpl/conhome/9039808/proceeding-
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