SDN-based Self-Configuration for Time-Sensitive IoT Networks

Abstract: The convergence of IT and OT technologies results in the need for efficient network management solutions for automotive and industrial automation environments. However, configuring real-time Ethernet networks while maintaining the desired QoS is challenging due to the dynamic nature of OT networks and the high configuration parameters. This paper introduces an SDN-based self-configuration framework for the fully automated configuration of TSN networks. Unlike standard TSN configuration, we remove end-host-related dependencies and put flows initially on default paths to extract traffic characteristics by monitoring network traffic at edge switches. Communicated to a central SDN controller, these characteristics allow to move the flows to optimal paths while maintaining hard real-time guarantees, for which we also formulate an optimization problem. Our simulation results indicate that the proposed self-configuration approach works properly for different network sizes and numbers of end-hosts. Even though it slightly increases the average latency of critical frames, it still provides a certain level of real-time guarantee without any prior knowledge of flows.