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 …
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 …
NeuroViNE: A neural preprocessor for your virtual network embedding algorithm
Network virtualization enables increasingly diverse network services to cohabit and share a
given physical infrastructure and its resources, with the possibility to rely on different network …
given physical infrastructure and its resources, with the possibility to rely on different network …
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 …
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 …
On the use of graph neural networks for virtual network embedding
Resource allocation of 5G network slices is one of the most important challenges for network
operators. It can be formulated using the Virtual Network Embedding (VNE) problem, which …
operators. It can be formulated using the Virtual Network Embedding (VNE) problem, which …
A divide-and-conquer evolutionary algorithm for large-scale virtual network embedding
The subgraph isomorphism problems, which aim to map subgraphs to a given graph, are
widely seen in many applications and are usually nondeterministic polynomial-time …
widely seen in many applications and are usually nondeterministic polynomial-time …
A continuous-decision virtual network embedding scheme relying on reinforcement learning
Network Virtualization (NV) techniques allow multiple virtual network requests to beneficially
share resources on the same substrate network, such as node computational resources and …
share resources on the same substrate network, such as node computational resources and …
A dynamic and collaborative multi-layer virtual network embedding algorithm in SDN based on reinforcement learning
M Lu, Y Gu, D Xie - IEEE Transactions on Network and Service …, 2020 - ieeexplore.ieee.org
Most of existing virtual network embedding (VNE) algorithms only consider how to construct
virtual networks more efficiently on a physical infrastructure, without considering the …
virtual networks more efficiently on a physical infrastructure, without considering the …
VNE-TD: A virtual network embedding algorithm based on temporal-difference learning
Recently, network virtualization is considered as a promising solution for the future Internet
which can help to overcome the resistance of the current Internet to fundamental changes …
which can help to overcome the resistance of the current Internet to fundamental changes …