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

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Sensors (Basel, Switzerland) Switzerland), 2019-08, Vol.19 (16), p.3594
Hauptverfasser: Cao, Hung, Wachowicz, Monica
Format: Artikel
Sprache:eng
Schlagworte:
Algorithms
Artificial intelligence
Automation
Big Data
Cloud computing
Computer architecture
Data mining
Data transmission
Digital media
edge computing
Fault tolerance
fog computing
International conferences
Internet of Things
IoT architecture
IoT data streams
Knowledge discovery
Machine learning
Smart cities
smart parking
streaming analytics
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:1424-8220
1424-8220
DOI:10.3390/s19163594