Abstract: ［Objective］In order to solve the problem of updating the knowledge of crew skills training in the post-epidemic era, a cloud-based navigation simulator architecture is proposed, and a web service quality assurance algorithm is designed.［Method］Using virtualization technology to abstract the hardware devices of the cloud navigation simulator into logical resources, and applying Kubernetes technology to cluster the platform application services to manage and build the cloud navigation simulator platform architecture. Combined with the software-defined network architecture to provide a networking scheme for the WAN of the cloud navigation simulator network, the overall framework of the algorithm is determined according to the characteristics of data heterogeneity in the WAN transmission process, the feasibility of the algorithm is simulated and tested on the Mininet simulation platform, and traffic identification, view data scheduling and multi-stream QoS assurance simulation scenarios are set. ［Results］Simulation experiments show that CNS-QOSGA achieves more than 70% accuracy in traffic identification, 56.2% improvement in bandwidth and 21.4% reduction in delay compared to the traditional Dijkstra algorithm, and when multiple data streams coexist in the cloud navigation simulator network, CNS-QOSGA improves the satisfaction rate of both bandwidth and delay in the network compared to the equivalent routing algorithm. 10%.Conclusion The proposed algorithm calculates appropriate routing paths for QoS-demanding view data and guarantees the QoS of the network.