An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications

Exploring Internet of Things (IoT) data streams generated by smart cities means not only transforming data into better business decisions in a timely way but also generating long-term location intelligence for developing new forms of urban governance and organization policies. This paper proposes a...

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Detalles Bibliográficos
Autores principales: Cao, Hung, Wachowicz, Monica
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720178/
https://www.ncbi.nlm.nih.gov/pubmed/31426586
http://dx.doi.org/10.3390/s19163594
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author Cao, Hung
Wachowicz, Monica
author_facet Cao, Hung
Wachowicz, Monica
author_sort Cao, Hung
collection PubMed
description Exploring Internet of Things (IoT) data streams generated by smart cities means not only transforming data into better business decisions in a timely way but also generating long-term location intelligence for developing new forms of urban governance and organization policies. This paper proposes a new architecture based on the edge-fog-cloud continuum to analyze IoT data streams for delivering data-driven insights in a smart parking scenario.
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spelling pubmed-67201782019-10-30 An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications Cao, Hung Wachowicz, Monica Sensors (Basel) Article Exploring Internet of Things (IoT) data streams generated by smart cities means not only transforming data into better business decisions in a timely way but also generating long-term location intelligence for developing new forms of urban governance and organization policies. This paper proposes a new architecture based on the edge-fog-cloud continuum to analyze IoT data streams for delivering data-driven insights in a smart parking scenario. MDPI 2019-08-18 /pmc/articles/PMC6720178/ /pubmed/31426586 http://dx.doi.org/10.3390/s19163594 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cao, Hung
Wachowicz, Monica
An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications
title An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications
title_full An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications
title_fullStr An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications
title_full_unstemmed An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications
title_short An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications
title_sort edge-fog-cloud architecture of streaming analytics for internet of things applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720178/
https://www.ncbi.nlm.nih.gov/pubmed/31426586
http://dx.doi.org/10.3390/s19163594
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