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 …
fundamental challenges in NV is allocating physical network (PN) resources to the demands …
DeepViNE: Virtual network embedding with deep reinforcement learning
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 …
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 …
physical network. One of its main challenges is how to effectively allocate resources to the …
Virtual Network Embedding with Changeable Action Space: An Approach Based on Graph Neural Network and Reinforcement Learning
Network virtualization technology is envisioned as the new paradigm for modern Internet by
virtue of its flexible management and allocation of physical resources, as well as fast …
virtue of its flexible management and allocation of physical resources, as well as fast …
Dynamic virtual network embedding algorithm based on graph convolution neural network and reinforcement learning
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 …
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
As an essential resource management problem in network virtualization, virtual network
embedding (VNE) aims to allocate the finite resources of physical network to sequentially …
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 …
components. The performance of embedding algorithms determines the effectiveness and …
[HTML][HTML] Energy-Efficient Virtual Network Embedding: A Deep Reinforcement Learning Approach Based on Graph Convolutional Networks
Network virtualization (NV) technology is the cornerstone of modern network architectures,
offering significant advantages in resource utilization, flexibility, security, and streamlined …
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 …
centers, enabling the coexistence of multiple heterogeneous virtual networks in a shared …
Accelerating virtual network embedding with graph neural networks
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 …
technology. Prior works on VNE mainly focused on resource efficiency and did not address …