Streamlined Failure Localization Method and Application to Network Health Monitoring

We propose a reliable and easy-to-deploy method for localizing failures in optical networks with low added complexity. It essentially relies on the aggregation of raw monitoring data from coherent transponders; data readily accessible through streaming telemetry in modern optical networks. We first verify the reliability of our algorithm through extensive simulations over a European topology under realistic conditions. Then, we apply it to field data from a backbone network carrying live traffic. Here, we show how failure localization allows to generate strategic network health insights regarding link failure probabilities and mean time to repair. We notably underline the involvement of Q-drops in strong and localized deviations of both parameters.