Investigation in automatic fault detection for scheduled traffic and frame preemption in time-sensitive networks

Abstract

A thorough network diagnosis is essential to cutting down the cost of network downtime in heterogeneous, time-sensitive Ethernet networks. It appears that many Time-Sensitive Networking mechanisms do not provide sufficient information about possible error sources, error recognition, or error causes. This paper examines possible symptoms and error sources of Frame Preemption and how to detect them automatically. Moreover, it examines the limitations and functionality of the Scheduled Traffic Anomaly Detection algorithm (STADA) by utilizing a test network. This research provides assistance to manufacturers of industrial automation devices, experts, and network administrators in performing FDD and root-cause analysis for Scheduled Traffic and Frame Preemption faults in Time-Sensitive networks.