Abstract: To solve the problem of increased network service blocking rate and average latency caused by burst service, a burst traffic problem model in optical transport network was established. By adjusting the maximum bandwidth occupancy rate, the blocking rate in burst and non-burst states is balanced. The model also sets an optimization objective function to reduce the burst blocking rate and the average latency. A joint optimization algorithm based on latency and maximum bandwidth occupancy rate is proposed in the model. This algorithm is based on the K-shortest paths (KSP) algorithm with remaining link bandwidth and transmission latency as constraints and optimization objectives. Among the candidate paths obtained, the path with the minimum optimization objective function established in the proposed model and sufficient bandwidth resources is selected to transmit service. The experimental results show that compared with other reserved bandwidth algorithms, the proposed algorithm has the lowest traffic blocking rate, up to 18.16% reduction compared to the reserved bandwidth-based multipath transmission algorithm. Moreover, the average service latency has always remained low up to 0.36 ms reduction compared to the reserved bandwidth-based multipath transmission algorithm. The proposed algorithm achieves optimization of transmission latency and blocking rate for burst services.

Key words: optical transmission network, burst services, blockage rate, latency