Golden Shield Network Construction Plan Based on SDN Architecture
Keywords:
Network architecture, SDN, Control-data separationAbstract
This paper examines the problems exposed by traditional network architectures amid rapid network development, and introduces the new-generation architecture—Software-Defined Networking (SDN)—which breaks the vertical integration of traditional network architectures by decoupling the control and data-forwarding functions of underlying devices, i.e., control-data separation. Based on this feature, a case study illustrates the necessity of transitioning from traditional network architecture to the new SDN architecture.
References
Peng, Qucheng, et al. "Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose Estimation." arXiv preprint arXiv:2412.20538 (2024).
Zhang, Shengyuan, et al. "Research on machine learning-based anomaly detection techniques in biomechanical big data environments." Molecular & Cellular Biomechanics 22.3 (2025): 669-669.
Wang, Y. (2025). RAGNet: Transformer-GNN-Enhanced Cox–Logistic Hybrid Model for Rheumatoid Arthritis Risk Prediction.
Qi, R. (2025). AUBIQ: A Generative AI-Powered Framework for Automating Business Intelligence Requirements in Resource-Constrained Enterprises. Frontiers in Business and Finance, 2(01), 66-86.
Fang, Z. (2025). Adaptive QoS‐Aware Cloud–Edge Collaborative Architecture for Real‐Time Smart Water Service Management.
Li, B. (2025). GIS-Integrated Semi-Supervised U-Net for Automated Spatiotemporal Detection and Visualization of Land Encroachment in Protected Areas Using Remote Sensing Imagery.
Lin, Tingting. "ENTERPRISE AI GOVERNANCE FRAMEWORKS: A PRODUCT MANAGEMENT APPROACH TO BALANCING INNOVATION AND RISK."
Huang, Jingyi, and Yujuan Qiu. "LSTM‐Based Time Series Detection of Abnormal Electricity Usage in Smart Meters." (2025).
Chen, Rensi. "The application of data mining in data analysis." International Conference on Mathematics, Modeling, and Computer Science (MMCS2022). Vol. 12625. SPIE, 2023.
Li, Binghui. "AD-STGNN: Adaptive Diffusion Spatiotemporal GNN for Dynamic Urban Fire Vehicle Dispatch and Emergency." (2025).
Wang, Hao, Zhengyu Li, and Jianwei Li. "Road car image target detection and recognition based on YOLOv8 deep learning algorithm." unpublished. Available from: http://dx. doi. org/10.54254/2755-2721/69/20241489 (2024).
Wang, Hao. "Joint Training of Propensity Model and Prediction Model via Targeted Learning for Recommendation on Data Missing Not at Random." AAAI 2025 Workshop on Artificial Intelligence with Causal Techniques. 2025.
Ding, Cheng, et al. "A Survey of LLMs on Biosignal Applications." Authorea Preprints (2024).
Restrepo, David, et al. "Multimodal Deep Learning for Low-Resource Settings: A Vector Embedding Alignment Approach for Healthcare Applications." medRxiv (2024): 2024-06.
Yang, Jing, et al. "A generative adversarial network-based extractive text summarization using transductive and reinforcement learning." IEEE Access (2025).
Xie, Minhui, and Shujian Chen. "Maestro: Multi-Agent Enhanced System for Task Recognition and Optimization in Manufacturing Lines." Authorea Preprints (2025).
Zhu, Bingxin. "RAID: Reliability Automation through Intelligent Detection in Large-Scale Ad Systems." (2025).
Zhang, Yuhan. "CrossPlatformStack: Enabling High Availability and Safe Deployment for Products Across Meta Services." (2025).
Hu, Xiao. "AdPercept: Visual Saliency and Attention Modeling in Ad 3D Design." (2025).
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Copyright (c) 2025 Gang Xiong, Binhui Tang
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
