Edge Powered Industrial Control: Concept for Combining Cloud and Automation Technologies

@article{Pallasch2018EdgePI,
  title={Edge Powered Industrial Control: Concept for Combining Cloud and Automation Technologies},
  author={Christoph Pallasch and Stephan Wein and N. Hoffmann and M. Obdenbusch and T. Buchner and J. Waltl and C. Brecher},
  journal={2018 IEEE International Conference on Edge Computing (EDGE)},
  year={2018},
  pages={130-134}
}
  • Christoph Pallasch, Stephan Wein, +4 authors C. Brecher
  • Published 2018
  • Computer Science
  • 2018 IEEE International Conference on Edge Computing (EDGE)
    • In the past, industrial control of field devices was comprised of self-contained systems in a dedicated network for exchanging control information between field devices and control hardware to accomplish process tasks. Nowadays, cloud computing enables a massive amount of computing resources and high availability, which opens up new potentials in the industrial sector. Until now, the integration of cloud solutions in industrial control was limited due to missing technologies connecting the… CONTINUE READING
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    15 Citations
    Background Citations
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    Methods Citations
    2
    15 Citations
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    References

    SHOWING 1-10 OF 17 REFERENCES
    Feasibility of connecting machinery and robots to industrial control services in the cloud
    • C. Horn, J. Krüger
    • Engineering, Computer Science
    • 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA)
    • 2016
    • 13
    Internet of Things for Industrial Automation -- Challenges and Technical Solutions
    • 90
    Control-as-a-service from the cloud: A case study for using virtualized PLCs
    • 68
    Cloud-Based Control: A Multi-tenant, Horizontally Scalable Soft-PLC
    • 31
    • PDF
    Cloud-Integrated Cyber-Physical Systems for Complex Industrial Applications
    • 94
    Implementing Smart Factory of Industrie 4.0: An Outlook
    • 661
    Cloud computing for big data analytics in the Process Control Industry
    • 9
    Towards Service-Oriented Middleware for Fog and Cloud Integrated Cyber Physical Systems
    • 9
    A unified framework for the design of distributed cyber-physical systems - industrial automation example
    • 9
    Edge computing technologies for Internet of Things: a primer
    • 214