基于数字孪生技术的企业运营商云网融合全流程优化研究

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中图分类号：TN 711 文献标志码：A 文章编码：1672-7274（2025）09-0004-03

Research on the Full Process Optimization of Enterprise Operator Cloud Network Integration Based on Digital Twin Technology

YAN Jie，LU Guomei，JIANG Hubing （China Mobile Communications Group Gansu Co.，Ltd.Dingxi Branch，Dingxi 743ooo，China）

Abstract： In the process of enterprise operators promoting cloud network integration， latency issues limit the flexibilityof overall system resource scheduling.Therefore，this article conducts research on the full process optimization of enterprise operator cloud network integration based on digital twin technology.By constructing a federated learning architecture that maps virtual network functions，the goal of minimizing security enhancement latency has beenachieved.Using digital twin technologyand a 4-stage pipeline processing mode，analyze cloud network ntegration network traffic.Build anetwork computing modeland constrain the traffic allocation of enterprise operators'cloud network integrationby setting channel allcation and trafc scheduling strategies.Through nonlinear programming and optimization algorithms，achieve full process optimization of enterprise operator cloud network integration.The experimentalresults showthat theoptimization methoddescribed inthis article significantly improves the performance of enterprise operator cloud network integration systems，and the target optimization value highly overlapswith the actual operating value.

Keywords： digital twin technology; cloud network integration; enterprise operators; federated learning architecture; whole process optimization

随着信息技术的飞速发展，企业运营商正面临着前所未有的数字化转型挑战。（剩余3560字）