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Open AccessArticle

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

People in Motion Lab, University of New Brunswick, Fredericton, NB E3B 5A3, Canada
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Sensors 2019, 19(16), 3594; https://doi.org/10.3390/s19163594
Received: 27 July 2019 / Revised: 14 August 2019 / Accepted: 16 August 2019 / Published: 18 August 2019
(This article belongs to the Special Issue Edge/Fog/Cloud Computing in the Internet of Things)
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. View Full-Text
Keywords: IoT data streams; streaming analytics; smart parking; IoT architecture; edge computing; fog computing; cloud computing IoT data streams; streaming analytics; smart parking; IoT architecture; edge computing; fog computing; cloud computing
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MDPI and ACS Style

Cao, H.; Wachowicz, M. An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications. Sensors 2019, 19, 3594. https://doi.org/10.3390/s19163594

AMA Style

Cao H, Wachowicz M. An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications. Sensors. 2019; 19(16):3594. https://doi.org/10.3390/s19163594

Chicago/Turabian Style

Cao, Hung; Wachowicz, Monica. 2019. "An Edge-Fog-Cloud Architecture of Streaming Analytics for Internet of Things Applications" Sensors 19, no. 16: 3594. https://doi.org/10.3390/s19163594

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