[HTML][HTML] Reinforcement learning-based virtual network embedding: A comprehensive survey
Virtual network embedding plays a vital role in network virtualization, as it determines the
deployment and connection of virtual networks to the physical network in the 5G and …
deployment and connection of virtual networks to the physical network in the 5G and …
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 …
Automatic virtual network embedding based on deep reinforcement learning
Z Yan, J Ge, Y Wu, H Zheng, L Li… - 2019 IEEE 21st …, 2019 - ieeexplore.ieee.org
The performance of virtual network embedding determines the effectiveness and efficiency
of a virtualized network, making it a critical part of the network virtualization technology …
of a virtualized network, making it a critical part of the network virtualization technology …
A node probability-based reinforcement learning framework for virtual network embedding
At present, the traditional heuristic method to solve the problem of virtual network
embedding (VNE) is still the mainstream. In the environment of network virtualization (NV), a …
embedding (VNE) is still the mainstream. In the environment of network virtualization (NV), a …
VNE-HRL: A proactive virtual network embedding algorithm based on hierarchical reinforcement learning
J Cheng, Y Wu, Y Lin, E Yuepeng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Virtual network embedding (VNE) that instantiates virtualized networks on a substrate
infrastructure, is one of the key research problems for network virtualization. Most existing …
infrastructure, is one of the key research problems for network virtualization. Most existing …
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 …
InDS: Intelligent DRL Strategy for Effective Virtual Network Embedding of an Online Virtual Network Requests
Network virtualization is a demanding feature in the evolution of future Internet architectures.
It enables on-demand virtualized resource provision for heterogeneous Virtual Network …
It enables on-demand virtualized resource provision for heterogeneous Virtual Network …
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 …
CE-VNE: Constraint escalation virtual network embedding algorithm assisted by graph convolutional networks
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 …
the network. For example, in areas such as financial transactions, drone control and …
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 …