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
Descripción
Sumario: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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