Applications of Reinforcement Learning in Virtual Network Function Placement: A Survey

C Zhou, B Zhao, J Tao, B Wang - 2022 18th International …, 2022 - ieeexplore.ieee.org
In recent years, network function virtualization has attracted massive attention in academia
and industry, and the virtual network functions placement problem is one of them …

Virtual network function placement optimization with deep reinforcement learning

R Solozabal, J Ceberio, A Sanchoyerto… - IEEE Journal on …, 2019 - ieeexplore.ieee.org
Network Function Virtualization (NFV) introduces a new network architecture framework that
evolves network functions, traditionally deployed over dedicated equipment, to software …

Virtual Network Function Placement Optimization Algorithm Based on Improve Deep Reinforcement Learning

L TANG, L HE, Q LIAN, Q TAN - 电子与信息学报, 2021 - jeit.ac.cn
Considering the problem of Service Function Chain (SFC) placement optimization caused
by the dynamic arrival of network service requests under the Network Function …

Virtual Network Function Placement Optimization Algorithm Based on Improve Deep Reinforcement Learning

T Lun, HE Lanqin, L Qinyi, TAN Qi - 电子与信息学报, 2021 - jeit.ac.cn
Considering the problem of Service Function Chain (SFC) placement optimization caused
by the dynamic arrival of network service requests under the Network Function …

Combining deep reinforcement learning with graph neural networks for optimal VNF placement

P Sun, J Lan, J Li, Z Guo, Y Hu - IEEE Communications Letters, 2020 - ieeexplore.ieee.org
Network Function Virtualization (NFV) technology utilizes software to implement network
function as virtual instances, which reduces the cost on various middlebox hardware. A …

Resource Allocation in Network Function Virtualization

S Yang, N He, F Li, X Fu - Springer
Network Function Virtualization (NFV) has been emerging as an appealing solution that
transforms complex network functions from dedicated hardware implementations to software …

Environment-adaptive sizing and placement of NFV service chains with accelerated reinforcement learning

M Nakanoya, Y Sato… - 2019 IFIP/IEEE symposium …, 2019 - ieeexplore.ieee.org
As network function virtualization spread, network service providers have been able to
deliver various networks flexibly and rapidly. In particular, products and services that build …

Network resource allocation strategy based on deep reinforcement learning

S Zhang, C Wang, J Zhang, Y Duan… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
The traditional Internet has encountered a bottleneck in allocating network resources for
emerging technology needs. Network virtualization (NV) technology as a future network …

An attention based deep reinforcement learning method for virtual network function placement

S Li, S Zhang, L Chen, H Chen, X Liu… - 2020 IEEE 6th …, 2020 - ieeexplore.ieee.org
Network Function Virtualization (NFV) decouples network functions from the dedicated
hardware and produces Virtual Network Functions (VNFs) in software. The VNFs are placed …

Leveraging deep reinforcement learning with attention mechanism for virtual network function placement and routing

N He, S Yang, F Li, S Trajanovski, L Zhu… - … on Parallel and …, 2023 - ieeexplore.ieee.org
The efficacy of Network Function Virtualization (NFV) depends critically on (1) where the
virtual network functions (VNFs) are placed and (2) how the traffic is routed. Unfortunately …