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An Analysis of Computational Resources of Event-Driven Streaming Data Flow for Internet of Things: A Case Study

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dc.contributor.authorTenorio Trigoso, Alonso
dc.contributor.authorMondragón Ruiz, Giovanny
dc.contributor.authorCarrión, Carmen
dc.contributor.authorCaminero, Blanca
dc.contributor.authorCastillo Cara, José Manuel
dc.date.accessioned2024-05-20T11:36:57Z
dc.date.available2024-05-20T11:36:57Z
dc.date.issued2021-10-06
dc.description.abstractInformation and communication technologies backbone of a smart city is an Internet of Things (IoT) application that combines technologies such as low power IoT networks, device management, analytics or event stream processing. Hence, designing an efficient IoT architecture for real-time IoT applications brings technical challenges that include the integration of application network protocols and data processing. In this context, the system scalability of two architectures has been analysed: the first architecture, named as POST architecture, integrates the hyper text transfer protocol with an Extract-Transform-Load technique, and is used as baseline; the second architecture, named as MQTT-CEP, is based on a publish-subscribe protocol, i.e. message queue telemetry transport, and a complex event processor engine. In this analysis, SAVIA, a smart city citizen security application, has been deployed following both architectural approaches. Results show that the design of the network protocol and the data analytic layer impacts highly in the Quality of Service experimented by the final IoT users. The experiments show that the integrated MQTT-CEP architecture scales properly, keeps energy consumption limited and thereby, promotes the development of a distributed IoT architecture based on constraint resources. The drawback is an increase in latency, mainly caused by the loosely coupled communication pattern of MQTT, but within reasonable levels which stabilize with increasing workloads.es
dc.description.versionversión final
dc.identifier.doihttps://doi.org/10.1093/comjnl/bxab143
dc.identifier.issn0010-4620 eISSN 1460-2067
dc.identifier.urihttps://hdl.handle.net/20.500.14468/12311
dc.journal.issue1
dc.journal.titleThe Computer Journal
dc.journal.volume63
dc.language.isoen
dc.publisher['Oxford University Press', 'BCS, The Chartered Institute for IT']
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentInformática y Automática
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subject.keywordssmart city
dc.subject.keywordsInternet of Things
dc.subject.keywordsreal-time stream processing
dc.subject.keywordscomputing performance
dc.subject.keywordsdata-driven analysis
dc.subject.keywordscomplex event processing
dc.titleAn Analysis of Computational Resources of Event-Driven Streaming Data Flow for Internet of Things: A Case Studyes
dc.typejournal articleen
dc.typeartículoes
dspace.entity.typePublication
relation.isAuthorOfPublicationc0e39bd2-c0d8-4743-953d-488baf6b977e
relation.isAuthorOfPublication.latestForDiscoveryc0e39bd2-c0d8-4743-953d-488baf6b977e
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