高性能网络数字孪生仿真引擎研究OA

Network digital twin technology plays a significant role in improving the maintenance efficiency and decision-making accuracy of IP bearer network simulation and testing.However,it still faces challenges,such as low simulation ac-curacy and insufficient simulation performance.A high-performance network digital twin simulation engine,extended PNetLab(ePNetLab),based on the PNetLab simulation platform was proposed.Firstly,the original platform was opti-mized in terms of performance and functionality.The interface response mechanism was improved,a cross-node commu-nication scheme was designed,and the efficiency of topology construction was enhanced,along with the ability to form clustered networks.Secondly,a topology dynamic construction method based on community detection algorithms was designed and implemented,effectively reducing the construction time and resource overhead in the large-scale simulation sce-narios.Finally,experimental evaluations were conducted to verify the feasibility and efficiency of the proposed solution.The experimental results show that ePNetLab improves the topology construction efficiency by 82.9%compared with the native PNetLab under the optimal conditions.Meanwhile,the community partitioning algorithm introduced greatly im-proves simulation efficiency,resource utilization,and business performance compared with the other algorithms.