Virtual Network
Virtual networks (VNs) are logical overlays on physical networks, enabling flexible resource allocation and customized service provisioning. Current research heavily focuses on efficient VN embedding algorithms, often employing deep reinforcement learning, graph neural networks, and optimization techniques to address the NP-hard nature of resource allocation and admission control, particularly in scenarios like 5G network slicing and IoT environments. These advancements aim to improve resource utilization, service quality, and security in increasingly complex and heterogeneous network infrastructures, impacting both network management and the design of novel applications.
Papers
A multi-domain virtual network embedding algorithm with delay prediction
Peiying Zhang, Xue Pang, Yongjing Ni, Haipeng Yao, Xin Li
Multi Objective Resource Optimization of Wireless Network Based on Cross Domain Virtual Network Embedding
Chao Wang, Tao Dong, Youxiang Duan, Qifeng Sun, Peiying Zhang
IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode
Peiying Zhang, Chao Wang, Gagangeet Singh Aujla, Neeraj Kumar, Mohsen Guizani
Security-Aware Virtual Network Embedding Algorithm based on Reinforcement Learning
Peiying Zhang, Chao Wang, Chunxiao Jiang, Abderrahim Benslimane
Space-Air-Ground Integrated Multi-domain Network Resource Orchestration based on Virtual Network Architecture: a DRL Method
Peiying Zhang, Chao Wang, Neeraj Kumar, Lei Liu
Dynamic Virtual Network Embedding Algorithm based on Graph Convolution Neural Network and Reinforcement Learning
Peiying Zhang, Chao Wang, Neeraj Kumar, Weishan Zhang, Lei Liu
Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm
Peiying Zhang, Chao Wang, Chunxiao Jiang, Neeraj Kumar, Qinghua Lu