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The FORA Fog Computing Platform for Industrial IoT
DTU Compute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.
DTU Compute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.
DTU Compute, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.
Distributed Systems Group, Vienna University of Technology, Wien, Austria.
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2021 (English)In: Information Systems, ISSN 0306-4379, E-ISSN 1873-6076, Vol. 98, article id 101727Article in journal (Refereed) Published
Abstract [en]

Industry 4.0 will only become a reality through the convergence of Operational and Information Technologies (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, called Fog 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; middleware 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. 

Place, publisher, year, edition, pages
Elsevier Ltd , 2021. Vol. 98, article id 101727
Keywords [en]
AADL, Deterministic virtualization, Fog Computing, Industrial IoT, Industry 4.0, Time-Sensitive Networking, Computer architecture, Fault tolerance, Fog, IEEE Standards, Industrial internet of things (IIoT), Interoperability, Middleware, Network security, Process control, Architecture analysis, Communication technologies, Distributed machine learning, Non-functional requirements, Opc unified architectures, Reference architecture, Resource management, Safety and securities
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-53523DOI: 10.1016/j.is.2021.101727ISI: 000638134900007Scopus ID: 2-s2.0-85100531828OAI: oai:DiVA.org:mdh-53523DiVA, id: diva2:1541631
Available from: 2021-04-01 Created: 2021-04-01 Last updated: 2021-06-15Bibliographically approved

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Punnekkat, Sasikumar

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