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Towards Developing a Supervisory Agent for Adapting the QoS Network Configurations

Fulltext:


Publication Type:

Conference/Workshop Paper

Venue:

IEEE International Conference on Emerging Technologies and Factory Automation


Abstract

As the industry trend is moving toward Ethernet-based Industrial Control Systems (ICSs) in line with the industry 4.0 paradigm, the network traffic must be monitored and managed to keep the systems reliably available. A flat converged network architecture where all the controllers, Input/Output (I/O), and supervisory systems are connected introduces mixed traffic classes competing for network resources and access to the shared medium. These traffic classes are typically managed with different Quality of Service (QoS) techniques. The challenge lies in managing end-to-end QoS in a heterogeneous environment and configuring switches according to the vendor, model, and operating software. Meanwhile, emerging greenfield technology are not deployable with switches used in today's ICS. We propose a distributed QoS supervisory agent, capable of detecting and correcting faulty QoS configurations in a contemporary heterogeneous Layer 2 switch environment. The initial results are achieved through two experimental testbeds in a use case where our agent successfully corrected the QoS configurations.

Bibtex

@inproceedings{Leclerc6981,
author = {Sebastian Leclerc and Kasra Ekrad and Bjarne Johansson and Ines Alvarez and Mohammad Ashjaei and Saad Mubeen},
title = {Towards Developing a Supervisory Agent for Adapting the QoS Network Configurations},
month = {September},
year = {2024},
booktitle = {IEEE International Conference on Emerging Technologies and Factory Automation},
url = {http://www.es.mdu.se/publications/6981-}
}