Improving QoS in Failure Scenarios: Measurement System for Low-Latency Backup Path

In modern networks, ensuring low latency and high reliability is critical, especially for real-time applications such as voice or video communication applications. Traffic Engineering (TE) enables efficient optimization of resource allocation, leading to low delay. Segment Routing (SR) is utilized to achieve such TE in a simple and scalable manner. Traditional Fast Reroute (FRR) technology in SR networks provides rapid recovery during network failures. However, these technology often ignores the latency of backup paths and there is no architecture to measure latency in FRR network. This study presents a system architecture to measure the latency metrics of the backup paths and enhance their performance of backup paths provided by FRR in SR networks. The architecture allows for the visualization and evaluation of alternative paths by aggregating latency metrics to the controller for path computation. We evaluated our proposed system in a test environment consisting of six virtual routers, and the results demonstrated its ability to identify lower-latency paths compared to a backup path selected by the conventional FRR technology. The ability indicates the possibility of lowerlatency rerouting strategies that achieve both high reliability and performance.