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  4. A Survey of Internet of Things and Big Data integrated Solutions for Industrie 4.0
 
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2018
Conference Paper
Titel

A Survey of Internet of Things and Big Data integrated Solutions for Industrie 4.0

Abstract
The industrial internet of things (IIoT) is growing at an exponential rate generating massive amounts of industrial data. This data must be leveraged to support business and operational goals. As a result, there is an urgent need for adopting big data technologies to enable data analytics in industrial automation. This paper explores interrelations between IIoT and big data technologies and how they work together to generate business insights from industrial data. Additionally, requirements for cloud-based solutions are derived from the Industrie 4.0 use case scenario value-based-services, focusing on condition monitoring and predictive maintenance services. A survey of selected cloud-based platforms is conducted to examine how these platforms meet the requirements derived from the use case. Results show that existing general cloud platforms should adopt more IIoT applications and platforms, while existing industrial cloud platforms should add big data frameworks to their portfolio. Finally, an architecture for integrating cloud-based IIoT and big data solutions is introduced and issues regarding the use of public cloud for IIoT applications are discussed.
Author(s)
Al-Gumaei, Khaled
Schuba, Kornelia
Friesen, Andrej
Heymann, Sascha
Pieper, Carsten
Pethig, Florian
Schriegel, Sebastian
Hauptwerk
IEEE 23rd International Conference on Emerging Technologies and Factory Automation, ETFA 2018. Proceedings
Konferenz
International Conference on Emerging Technologies and Factory Automation (ETFA) 2018
Thumbnail Image
DOI
10.1109/ETFA.2018.8502484
Language
English
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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
Tags
  • Big Data

  • Cloud Computing

  • Internet of Things

  • Industrial IoT

  • Industrie 4.0

  • Industrial Automation...

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