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

Tenorio Trigoso, Alonso, Castillo Cara, Manuel, Mondragón Ruiz, Giovanny, Carrión, Carmen y Caminero, Blanca . (2021) An Analysis of Computational Resources of Event-Driven Streaming Data Flow for Internet of Things: A Case Study. The Computer Journal

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Título An Analysis of Computational Resources of Event-Driven Streaming Data Flow for Internet of Things: A Case Study
Autor(es) Tenorio Trigoso, Alonso
Castillo Cara, Manuel
Mondragón Ruiz, Giovanny
Carrión, Carmen
Caminero, Blanca
Materia(s) Informática
Resumen Information 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.
Palabras clave smart city
Internet of Things
real-time stream processing
computing performance
data-driven analysis
complex event processing
Editor(es) Oxford University Press
BCS, The Chartered Institute for IT
Fecha 2021-10-06
Formato application/pdf
Identificador bibliuned:557-Jmcastillo-0006
http://e-spacio.uned.es/fez/view/bibliuned:557-Jmcastillo-0006
DOI - identifier https://doi.org/10.1093/comjnl/bxab143
ISSN - identifier 0010-4620 eISSN 1460-2067
Nombre de la revista The Computer Journal
Número de Volumen 63
Número de Issue 1
Página inicial 47
Página final 60
Publicado en la Revista The Computer Journal
Idioma eng
Versión de la publicación acceptedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/embargoedAccess
Tipo de acceso Acceso abierto
Notas adicionales La versión registrada de este artículo, publicado por primera vez en The Computer Journal, está disponible en línea en el sitio web del editor: Oxford University Press https://doi.org/10.1093/comjnl/bxab143
Notas adicionales The copyrighted version of this article, first published in The Computer Journal, is available online at the publisher's website: Oxford University Press https://doi.org/10.1093/comjnl/bxab143

 
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Creado: Wed, 28 Feb 2024, 19:21:46 CET