Configuration Tree-Based Network Device Parameter Generation and Deployment Framework

As the scale of networks continues to expand, the automated management of network device parameters becomes increasingly important. This paper proposes a configuration tree-based framework for the generation and deployment of network device parameters, focusing primarily on routers and switches. Firstly, in the parsing phase, we utilize YANG models and YIN files to perform feature parsing on the parameter configuration files, abstracting intermediate configuration templates from the collected network configuration information. Secondly, in the parameter generation phase, based on the optimal matching mapping rules of nodes, new configuration files for required services are generated from the intermediate configuration templates. Finally, in the deployment phase, the configuration files are deployed to the devices through OF-CONFIG. Experimental results validate the effectiveness of this framework.

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Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/iceaai64185.2025.10957267
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
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Configuration Tree-Based Network Device Parameter Generation and Deployment Framework

Debing Ni, Yue Shen, Jian Gong, Yang Yu et al.
Software-Defined Networks and 5G
article

Configuration Tree-Based Network Device Parameter Generation and Deployment Framework

Debing Ni, Yue Shen, Jian Gong, Yang Yu, Chong Xu
article en

Abstract

As the scale of networks continues to expand, the automated management of network device parameters becomes increasingly important. This paper proposes a configuration tree-based framework for the generation and deployment of network device parameters, focusing primarily on routers and switches. Firstly, in the parsing phase, we utilize YANG models and YIN files to perform feature parsing on the parameter configuration files, abstracting intermediate configuration templates from the collected network configuration information. Secondly, in the parameter generation phase, based on the optimal matching mapping rules of nodes, new configuration files for required services are generated from the intermediate configuration templates. Finally, in the deployment phase, the configuration files are deployed to the devices through OF-CONFIG. Experimental results validate the effectiveness of this framework.

State Grid Corporation of China (China) (CN), Northeast Electric Power University (CN)
Openalex Percentile: Top 93%
Software-Defined Networks and 5G
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