Industrial Edge Cloud for the Smart Factory
ABSTRACT
Industrial Edge Cloud in the Smart Factories
Cloud Computing has been used extensively for a number of purposes over the past few years. From everyday tasks like reading emails and watching videos to factory automation and device control, it has changed where data is processed and how it is accessed. However, the increasing number of connected devices brings problems such as low Quality of Service (QoS) due to infrastructure resources and high latency due to bandwidth constraints. The current trend to solve the problems posed by Cloud Computing is to perform computation as close to the field level as possible. This paradigm is called Edge Computing. There are several proposed architectures for Edge Computing, but so far there are no standards accepted by the community or industry. In addition, there is no common agreement on what the Edge Computing architecture physically looks like. In this paper, we describe the Industrial Edge Cloud, explain what Industrial Edge Cloud architecture looks like, what its requirements are, and what its capabilities are. We also define the key features that an Edge Node should support. Furthermore, we give a short insight into the challenges that come along with the networking of machines and plants and that it is not sufficient to just “secure” machines or plants, but that new interfaces of cybersecurity with operation, maintenance, safety etc. arise, which require corresponding security work.
Authors
- Volkan Gezer, Carsten Harms, Deutsches Forschungszentrum für Künstliche Intelligenz
- Carsten Brüggemann, Pfalzkom
- Michael Pfeifer, TÜV Süd
- Andreas Michael, TÜV Süd
- Simon Althoff, Weidmüller
- Torsten Runge, Deutsche Telekom/T-Systems
- Keran Sivalingam, Technologie-Initiative SmartFactory KL e.V.
- Martin Ruskowski, Deutsches Forschungszentrum für Künstliche Intelligenz
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