DeepVNE: Deep Reinforcement and Graph Convolution Fusion for Virtual Network Embedding

KK TG, KB Aneesh, A Siddheshwar… - 2024 16th …, 2024 - ieeexplore.ieee.org
Network virtualization (NV) plays a crucial role in modern network management. One of the
fundamental challenges in NV is allocating physical network (PN) resources to the demands …

DeepViNE: Virtual network embedding with deep reinforcement learning

M Dolati, SB Hassanpour, M Ghaderi… - IEEE INFOCOM 2019 …, 2019 - ieeexplore.ieee.org
Virtual Network Embedding (VNE) is a crucial problem in network virtualization. Prior work
on VNE is mainly focused on optimization-based solutions that are carefully constructed and …

A coordinated two-stages virtual network embedding algorithm based on reinforcement learning

C Wang, F Zheng, S Peng, Z Tian… - … on Advanced Cloud …, 2019 - ieeexplore.ieee.org
Network virtualization allows multiple heterogeneous networks to be deployed on the same
physical network. One of its main challenges is how to effectively allocate resources to the …

Dynamic virtual network embedding algorithm based on graph convolution neural network and reinforcement learning

P Zhang, C Wang, N Kumar… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
Network virtualization (NV) is a technology with broad application prospects. Virtual network
embedding (VNE) is the core orientation of VN, which aims to provide more flexible …

Joint admission control and resource allocation of virtual network embedding via hierarchical deep reinforcement learning

T Wang, L Shen, Q Fan, T Xu, T Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
As an essential resource management problem in network virtualization, virtual network
embedding (VNE) aims to allocate the finite resources of physical network to sequentially …

Automatic virtual network embedding: A deep reinforcement learning approach with graph convolutional networks

Z Yan, J Ge, Y Wu, L Li, T Li - IEEE Journal on Selected Areas …, 2020 - ieeexplore.ieee.org
Virtual network embedding arranges virtual network services onto substrate network
components. The performance of embedding algorithms determines the effectiveness and …

Energy-Efficient Virtual Network Embedding: A Deep Reinforcement Learning Approach Based on Graph Convolutional Networks

P Zhang, E Wang, Z Luo, Y Bi, K Liu, J Wang - Electronics, 2024 - mdpi.com
Network virtualization (NV) technology is the cornerstone of modern network architectures,
offering significant advantages in resource utilization, flexibility, security, and streamlined …

Towards learning-based energy-efficient online coordinated virtual network embedding framework

Z Duan, T Wang - Computer Networks, 2024 - Elsevier
Network virtualization is a highly effective technology for resource sharing within data
centers, enabling the coexistence of multiple heterogeneous virtual networks in a shared …

Accelerating virtual network embedding with graph neural networks

F Habibi, M Dolati, A Khonsari… - 2020 16th International …, 2020 - ieeexplore.ieee.org
Virtual Network Embedding (VNE) is an essential component of network virtualization
technology. Prior works on VNE mainly focused on resource efficiency and did not address …

CE-VNE: Constraint escalation virtual network embedding algorithm assisted by graph convolutional networks

P Zhang, Z Luo, N Kumar, M Guizani, H Zhang… - Journal of Network and …, 2024 - Elsevier
With the advent of Industry 5.0, access devices are becoming more and more demanding on
the network. For example, in areas such as financial transactions, drone control and …