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面向数字孪生的可扩展网络模型构建方法

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数字孪生网络的基础是构建网络模型.在网络测试、验证、训练等数字孪生应用中,目标网络的设备组成、拓扑结构、路由选择、业务应用、用户行为等通常具有不确定性,导致数字孪生网络模型需要适应不同类型的目标网络特征,并满足未来不断扩展的网络要素需求.针对这一问题,分析网络模型要素构成,并基于元模型构建框架,提出了一套可扩展的网络模型构建方法.该方法通过网络元模型数据结构规范化网络模型的描述方式,基于网络元模型,可以支持不同类别网络模型的实例化注册,支持网络模型与实体资源的绑定,实现对模型资源的统一管理.
A Scalable Network Modeling Method Oriented to Digital Twin
Network Modeling is the foundation of Digital Twin Network.In digital twin applications such as network testing,validation,and training,there are lots of uncertainties in terms of the device composi-tion,topology,routing selection,business applications and user behavior of the target network.So the digital twin network model needs to adapt to different types of target network characteristics,and meet the needs of expanding network elements in the future.Motivated by solving these problems,the paper analy-zes the composition of network model elements,and proposes a scalable network modeling method based on meta-modeling framework.The proposed method standardizes the network model description with net-work meta-model data structure,supports instantiation registration of different types of network models,supports the binding of network models and physical resources,and realizes unified management of the network model resources.

digital twinnetwork modelingmeta-modelnetwork simulation

贾佳、李超、韩敬松、向良、段建炜

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中国电子科技集团公司第十五研究所,北京 100083

中国电子科技集团公司第三十研究所,四川成都 610041

数字孪生 网络建模 元模型 网络仿真

2024

中国电子科学研究院学报
中国电子科学研究院

中国电子科学研究院学报

影响因子:0.663
ISSN:1673-5692
年,卷(期):2024.19(3)