An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications

Mondragón Ruiz, Giovanny, Tenorio Trigoso, Alonso, Castillo Cara, Manuel, Caminero, Blanca y Carrión, Carmen . (2021) An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications. Journal of Cloud Computing: Advances, Systems and Applications

Ficheros (Some files may be inaccessible until you login with your e-spacio credentials)
Nombre Descripción Tipo MIME Size
Castillo-Cara_JM-FogVsCloud.pdf Castillo-Cara_JM-FogVsCloud.pdf application/pdf 1.57MB

Título An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications
Autor(es) Mondragón Ruiz, Giovanny
Tenorio Trigoso, Alonso
Castillo Cara, Manuel
Caminero, Blanca
Carrión, Carmen
Materia(s) Informática
Abstract Internet of Things (IoT) has posed new requirements to the underlying processing architecture, specially for real-time applications, such as event-detection services. Complex Event Processing (CEP) engines provide a powerful tool to implement these services. Fog computing has raised as a solution to support IoT real-time applications, in contrast to the Cloud-based approach. This work is aimed at analysing a CEP-based Fog architecture for real-time IoT applications that uses a publish-subscribe protocol. A testbed has been developed with low-cost and local resources to verify the suitability of CEP-engines to low-cost computing resources. To assess performance we have analysed the effectiveness and cost of the proposal in terms of latency and resource usage, respectively. Results show that the fog computing architecture reduces event-detection latencies up to 35%, while the available computing resources are being used more efficiently, when compared to a Cloud deployment. Performance evaluation also identifies the communication between the CEP-engine and the final users as the most time consuming component of latency. Moreover, the latency analysis concludes that the time required by CEP-engine is related to the compute resources, but is nonlinear dependent of the number of things connected.
Palabras clave Fog Computing
Cloud Computing
Edge Computing
Complex Event Processing
Real-Time IoT Applications
Benchmark Analysis
Editor(es) SpringerOpen
Fecha 2021-06-07
Formato application/pdf
Identificador bibliuned:557-Jmcastillo-0009
http://e-spacio.uned.es/fez/view/bibliuned:557-Jmcastillo-0009
DOI - identifier https://doi.org/10.1186/s13677-021-00245-7
ISSN - identifier eISSN 2192-113X
Nombre de la revista Journal of Cloud Computing: Advances, Systems and Applications
Número de Volumen 10
Número de Issue 32
Publicado en la Revista Journal of Cloud Computing: Advances, Systems and Applications
Idioma eng
Versión de la publicación publishedVersion
Tipo de recurso Article
Derechos de acceso y licencia http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
Tipo de acceso Acceso abierto
Notas adicionales La versión registrada de este artículo, publicado por primera vez en Journal of Cloud Computing: Advances, Systems and Applications (2021) 10 Art.32 , está disponible en línea en el sitio web del editor: SpringerOpen https://doi.org/10.1186/s13677-021-00245-7
Notas adicionales The registered version of this article, first published in Journal of Cloud Computing: Advances, Systems and Applications (2021) 10 Art.32, is available online at the publisher's website: SpringerOpen https://doi.org/ 10.1186/s13677-021-00245-7

 
Versiones
Versión Tipo de filtro
Contador de citas: Google Scholar Search Google Scholar
Estadísticas de acceso: 28 Visitas, 6 Descargas  -  Estadísticas en detalle
Creado: Wed, 28 Feb 2024, 20:50:17 CET