A Fog Node Architecture for Real-Time Processing of Urban IoT Data Streams

Moulay Elarbi Badidi

doi:10.1007/978-3-030-19807-7_32

A Fog Node Architecture for Real-Time Processing of Urban IoT Data Streams

Moulay Elarbi Badidi

Department of Intelligent Systems

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Citations (Scopus)

Abstract

Sensors and IoT devices in smart cities generate vast volumes of data that need to be harnessed to help smart city applications make informed decisions on the fly. However, time-sensitive applications cannot tolerate sending data streams to the cloud for processing because of the unacceptable latency and network bandwidth requirements. Cities require the ability to efficiently stream data and process data streams in real-time at the edge. This paper describes a fog node-based architecture that aims to deal with the streaming and processing of data generated by the various devices and equipment of the city to enable the creation of value-added services. The core components of the fog node are a powerful distributed messaging system and a powerful stream processing engine that can adequately scale with the data volumes.

Original language	English
Title of host publication	Software Engineering Methods in Intelligent Algorithms - Proceedings of 8th Computer Science On-line Conference 2019, Vol. 1
Editors	Radek Silhavy
Publisher	Springer Verlag
Pages	330-341
Number of pages	12
ISBN (Print)	9783030198060
DOIs	https://doi.org/10.1007/978-3-030-19807-7_32
Publication status	Published - Jan 1 2019
Event	8th Computer Science On-line Conference, CSOC 2019 - Prague, Czech Republic Duration: Apr 24 2019 → Apr 27 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	984
ISSN (Print)	2194-5357

Conference

Conference	8th Computer Science On-line Conference, CSOC 2019
Country/Territory	Czech Republic
City	Prague
Period	4/24/19 → 4/27/19

Keywords

Data streams processing
Edge computing
Fog computing
IoT gateway
Urban data

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-19807-7_32

Cite this

Badidi, M. E. (2019). A Fog Node Architecture for Real-Time Processing of Urban IoT Data Streams. In R. Silhavy (Ed.), Software Engineering Methods in Intelligent Algorithms - Proceedings of 8th Computer Science On-line Conference 2019, Vol. 1 (pp. 330-341). (Advances in Intelligent Systems and Computing; Vol. 984). Springer Verlag. https://doi.org/10.1007/978-3-030-19807-7_32

A Fog Node Architecture for Real-Time Processing of Urban IoT Data Streams. / Badidi, Moulay Elarbi.
Software Engineering Methods in Intelligent Algorithms - Proceedings of 8th Computer Science On-line Conference 2019, Vol. 1. ed. / Radek Silhavy. Springer Verlag, 2019. p. 330-341 (Advances in Intelligent Systems and Computing; Vol. 984).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Badidi, ME 2019, A Fog Node Architecture for Real-Time Processing of Urban IoT Data Streams. in R Silhavy (ed.), Software Engineering Methods in Intelligent Algorithms - Proceedings of 8th Computer Science On-line Conference 2019, Vol. 1. Advances in Intelligent Systems and Computing, vol. 984, Springer Verlag, pp. 330-341, 8th Computer Science On-line Conference, CSOC 2019, Prague, Czech Republic, 4/24/19. https://doi.org/10.1007/978-3-030-19807-7_32

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A Fog Node Architecture for Real-Time Processing of Urban IoT Data Streams

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

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Cite this