Using NETCONF for Automatic Fault Diagnosis in Time-Sensitive Networking
2024 (English) In: IEEE International Conference on Emerging Technologies and Factory Automation, ETFA, Institute of Electrical and Electronics Engineers (IEEE) , 2024Conference paper, Published paper (Refereed)
Abstract [en]
The Time-Sensitive Networking (TSN) Task Group of the IEEE has proposed standards to provide Ethernet with real-time guarantees, network management and fault tolerance mechanisms. In this way, the Task Group expects Ethernet to become the standard network technology for novel industrial applications with real-time and reliability requirements. TSN proposes to use space redundancy to increase the reliability of the network, but redundancy alone might not be enough to reach the reliability guarantees required by certain applications, such as offshore industrial systems. For this reason, we propose a fault diagnosis mechanism called FAUDI that represents the first step towards automatic online reconfiguration of TSN networks to adapt to faults affecting the network. We present the design of FAUDI and we model it using the UPPAAL model checker, which allows to carry out an exhaustive evaluation of FAUDI's design. We use the model to validate the design and to verify that FAUDI exhibits properties that are of paramount importance in reliable real-time systems.
Place, publisher, year, edition, pages Institute of Electrical and Electronics Engineers (IEEE) , 2024.
Series
IEEE Conference on Emerging Technologies and Factory Automation, ISSN 1946-0759
Keywords [en]
Fault Diagnosis, NETCONF, Time-Sensitive Networking, Fault tolerance, Integrated circuit design, Printed circuit design, Redundancy, System-on-chip, Automatic fault diagnosis, Fault tolerance mechanisms, Faults diagnosis, Network faults, Network technologies, Networks management, Real time guarantees, Task groups, Ethernet
National Category
Computer Engineering
Identifiers URN: urn:nbn:se:mdh:diva-69000 DOI: 10.1109/ETFA61755.2024.10711072 ISI: 001535140200262 Scopus ID: 2-s2.0-85207819230 ISBN: 9798350361230 (print) OAI: oai:DiVA.org:mdh-69000 DiVA, id: diva2:1912951
Conference 29th IEEE International Conference on Emerging Technologies and Factory Automation, ETFA 2024, Padova 10 September 2024 through 13 September 2024
2024-11-132024-11-132026-02-16 Bibliographically approved