Adaptive service-aware fault management method based on bandwidth compression in fine grain OTN.

In network fault management, service recovery failures often occur due to limited resources and bottleneck links. New services with varying latency and bandwidth requirements complicate recovery when multiple services need restoration concurrently. However, current fault management methods struggle to guarantee differentiated service level agreements (SLAs). Therefore, ensuring the transmission quality of different services with limited resources and minimizing fault-affected services is a key challenge for future networks. Fine-grain optical transport networks (fgOTN) support a minimum carrying granularity of 10 Mbps and millisecond-level fast bandwidth adjustment, which provides technical support for fault management. This paper proposes an adaptive service-aware fault management method based on bandwidth compression in fgOTN, which includes a hybrid protection and recovery mechanism based on bandwidth compression (HPRBC) mechanism and an adaptive recovery sequence algorithm (ARSA). Simulation results show that, compared to the end-to-end service recovery (E2ESR) mechanism and hybrid protection and recovery (HPR) mechanism, the proposed mechanism reduces fault-affected services probability by 40% and 46.1%, respectively. Furthermore, when the number of services is 5000, the protected service recovery success probability of the ARSA based on HPRBC is 10.2% higher than that of the baseline.