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dc.contributor.author | Nakamura, Kiyoshy | es_ES |
dc.contributor.author | Manzoni, Pietro | es_ES |
dc.contributor.author | Zennaro, Marco | es_ES |
dc.contributor.author | Cano, Juan-Carlos | es_ES |
dc.contributor.author | Tavares De Araujo Cesariny Calafate, Carlos Miguel | es_ES |
dc.contributor.author | Cecilia-Canales, José María | es_ES |
dc.date.accessioned | 2022-01-18T08:12:42Z | |
dc.date.available | 2022-01-18T08:12:42Z | |
dc.date.issued | 2020-09-25 | es_ES |
dc.identifier.isbn | 978-1-4503-8078-2 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/179832 | |
dc.description.abstract | [EN] The growing connection between the Internet of Things (IoT) andArtificial Intelligence (AI) poses many challenges that require novelapproaches and even a rethinking of the entire communicationand processing architecture to meet new requirements for latency, reliability, power consumption and resource usage. Edge computingis a promising approach to meet these challenges that can also bebeneficial in delivering advanced AI-based IoT solutions in areaswhere connectivity is scarce and resources are generally limited.In this paper, we introduce an edge/fog generic architecture toallow the adoption of edge solutions in IoT deployments in poorlyconnected and resource limited scenarios. To this end, we integrate,using microservices, an MQTT based system that can collect ingressdata, handle their persistency, and coordinate data integration withthe cloud using a specific service calledaggregator. The edge stations have a dedicated channel with the aggregator based on LoRa to enable long-range transmissions with low power consumption. Some details of the implementation aspects are described along withsome preliminary results. Initial testing of the architecture indicatesthat it is flexible and robust enough to become an alternative forthe deployment of advanced IoT services in resource-constrainedcontexts. | es_ES |
dc.description.sponsorship | This work was partially supported by the Ministerio de Ciencia, Innovación y Universidades, Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, Proyectos I+D+I 2018, Spain, under Grant RTI2018-096384-B-I00. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Association for Computing Machinery (ACM) | es_ES |
dc.relation.ispartof | FRUGALTHINGS'20: Proceedings of the 1st Workshop on Experiences with the Design and Implementation of Frugal Smart Objects | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | LoRa | es_ES |
dc.subject | IoT | es_ES |
dc.subject | Edge computing | es_ES |
dc.subject | AI | es_ES |
dc.subject.classification | ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES | es_ES |
dc.title | FUDGE: a frugal edge node for advanced IoT solutions in contexts with limited resources | es_ES |
dc.type | Comunicación en congreso | es_ES |
dc.type | Capítulo de libro | es_ES |
dc.identifier.doi | 10.1145/3410670.3410857 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors | es_ES |
dc.description.bibliographicCitation | Nakamura, K.; Manzoni, P.; Zennaro, M.; Cano, J.; Tavares De Araujo Cesariny Calafate, CM.; Cecilia-Canales, JM. (2020). FUDGE: a frugal edge node for advanced IoT solutions in contexts with limited resources. Association for Computing Machinery (ACM). 30-35. https://doi.org/10.1145/3410670.3410857 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.conferencename | 1st Workshop on Experiences with the Design and Implementation of Frugal Smart Objects (FRUGALTHINGS 2020) | es_ES |
dc.relation.conferencedate | Septiembre 25-25,2020 | es_ES |
dc.relation.conferenceplace | Online | es_ES |
dc.relation.publisherversion | https://doi.org/10.1145/3410670.3410857 | es_ES |
dc.description.upvformatpinicio | 30 | es_ES |
dc.description.upvformatpfin | 35 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.relation.pasarela | S\418910 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |