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Record link: 
http://hdl.handle.net/20.500.12708/58500
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Title: 
Tunnelling and Mirroring Operational Technology Data with IP-based Middlewares
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Citation: 
Denzler, P., Ramsauer, D., & Kastner, W. (2021). Tunnelling and Mirroring Operational Technology Data with IP-based Middlewares. In 2021 22nd IEEE International Conference on Industrial Technology (ICIT). 2021 22nd IEEE International Conference on Industrial Technology (ICIT), Valencia, Spain. IEEE. https://doi.org/10.1109/icit46573.2021.9453658
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Publisher DOI: 
10.1109/icit46573.2021.9453658
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Publication Type: 
Inproceedings - Full-Paper Contribution
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Authors: 
Denzler, Patrick 
Ramsauer, Daniel 
Kastner, Wolfgang 
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Organisational Unit: 
E191-03 - Forschungsbereich Automation Systems 
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Published in: 
2021 22nd IEEE International Conference on Industrial Technology (ICIT) 
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Date (published): 
2021
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Event name: 
2021 22nd IEEE International Conference on Industrial Technology (ICIT) 
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Event date: 
10-Mar-2021 - 12-Mar-2021
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Event place: 
Valencia, Spain
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Number of Pages: 
6
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Publisher: 
IEEE
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Peer reviewed: 
Yes
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Keywords: 
middleware; Industrial communication; Industrial Internet of Things; gateway
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Abstract: 
Accessing runtime information originated from Operational Technology (OT) communication protocols by Information Technology (IT) applications remains a challenging task. Middlewares and gateways could provide a possible solution to bridge this OT/IT gap. In this context, this paper examines the feasibility of interconnecting legacy OT protocols via different middlewares and gateways by presenting two simplified scenarios. Each scenario exemplifies a possible use-case by either mimicking bidirectional tunnelling or propagating (mirroring) of automation data. Both scenarios use OPC Unified Architecture (OPC UA) and Message Queuing Telemetry Transport (MQTT) and a respective gateway prototype. The paper concludes by outlining future research challenges by discussing the limitations of the selected scenarios related to configuration, deployment and scalability.
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Project title: 
Fog Computing for Robotics and Industrial Automation: 764785 (European Commission) 
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Research Areas: 
Information Systems Engineering: 50%
Automation and Robotics: 50%
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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