物联网学报2026，Vol.10Issue(1)：161-171,11.DOI:10.11959/j.issn.2096-3750.2026.00505
高性能网络数字孪生仿真引擎研究
Research on high-performance network digital twin simulation engine
摘要
Abstract
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.关键词
IP承载网/数字孪生网络/仿真引擎/社区分割算法Key words
IP network/digital twin network/simulation engine/community partitioning algorithm分类
信息技术与安全科学引用本文复制引用
石鸿伟,倪中阳,陆干沂,黄韬..高性能网络数字孪生仿真引擎研究[J].物联网学报,2026,10(1):161-171,11.基金项目
国家重点研发计划(No.2022YFB2702303) Foundation Item:The National Key Research and Development Program of China(No.2022YFB2702303) （No.2022YFB2702303）
