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

Area of Science:

• Telecommunications Engineering
• Network Management
• Optical Networks

Background:

• Network fault management faces challenges in concurrent service recovery due to resource limitations and varying service requirements.
• Current methods struggle to guarantee differentiated Service Level Agreements (SLAs) for diverse services.
• Fine-grain optical transport networks (fgOTN) offer potential solutions with fine-grained bandwidth control and fast adjustment.

Purpose of the Study:

• To propose an adaptive, service-aware fault management method for fgOTN.
• To enhance network resilience and guarantee differentiated SLAs under fault conditions.
• To minimize the impact of network failures on service transmission quality.

Main Methods:

• Developed a hybrid protection and recovery mechanism based on bandwidth compression (HPRBC).
• Introduced an adaptive recovery sequence algorithm (ARSA) to optimize restoration order.
• Utilized simulation to evaluate the proposed mechanism against existing methods.

Main Results:

• The proposed HPRBC and ARSA mechanism reduced the probability of fault-affected services by 40% compared to End-to-End Service Recovery (E2ESR).
• It achieved a 46.1% reduction in fault-affected services compared to the Hybrid Protection and Recovery (HPR) mechanism.
• The ARSA based on HPRBC demonstrated a 10.2% higher protected service recovery success probability than the baseline for 5000 services.

Conclusions:

• The adaptive service-aware fault management method based on bandwidth compression effectively addresses challenges in network fault recovery.
• fgOTN technology, combined with HPRBC and ARSA, significantly improves network reliability and service continuity.
• The proposed approach is crucial for future networks requiring guaranteed differentiated SLAs and robust fault management.