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The FORA Fog Computing Platform for Industrial IoT  


Paul Pop, Bahram Zarrin , Mohammadreza Barzegaran , Stefan Schulte , Sasikumar Punnekkat, Jan Ruh , Wilfried Steiner

Publication Type:

Journal article


Elsevier Journal on Information Systems




Industry 4.0 will only become a reality through the convergence of Operational and InformationTechnologies (OT & IT), which use different computation and communication technologies.Cloud Computing cannot be used for OT involving industrial applications, since it cannot guarantee stringent non-functional requirements, e.g., dependability, trustworthiness and timeliness.Instead, a new computing paradigm, calledFog Computing, is envisioned as an architectural means to realize the IT/OT convergence. In this paper we propose a Fog Computing Platform(FCP) reference architecture targeting Industrial IoT applications. The FCP is based on: deterministic virtualization that reduces the effort required for safety and security assurance; middle-ware for supporting both critical control and dynamic Fog applications; deterministic networking and interoperability, using open standards such as IEEE 802.1 Time-Sensitive Networking (TSN)and OPC Unified Architecture (OPC UA); mechanisms for resource management and orchestration; and services for security, fault tolerance and distributed machine learning. We propose a methodology for the definition and the evaluation of the reference architecture. We use the Architecture Analysis Design Language (AADL) to model the FCP reference architecture, and a set of industrial use cases to evaluate its suitability for the Industrial IoT area


author = {Paul Pop and Bahram Zarrin and Mohammadreza Barzegaran and Stefan Schulte and Sasikumar Punnekkat and Jan Ruh and Wilfried Steiner},
title = {The FORA Fog Computing Platform for Industrial IoT  },
volume = {98},
pages = {1--20},
month = {May},
year = {2021},
journal = {Elsevier Journal on Information Systems},
publisher = {Elsevier},
url = {}