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 …

A-DDPG: Attention mechanism-based deep reinforcement learning for NFV

N He, S Yang, F Li, S Trajanovski… - 2021 IEEE/ACM 29th …, 2021 - 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 …

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 …

Machine learning for performance-aware virtual network function placement

DM Manias, M Jammal, H Hawilo… - 2019 IEEE Global …, 2019 - ieeexplore.ieee.org
With the growing demand for data connectivity, network service providers are faced with the
task of reducing their capital and operational expenses while simultaneously improving …

Drl-sfcp: Adaptive service function chains placement with deep reinforcement learning

T Wang, Q Fan, X Li, X Zhang, Q Xiong… - ICC 2021-IEEE …, 2021 - ieeexplore.ieee.org
Network function virtualization (NFV) is a promising paradigm that network functions can be
deployed on commodity servers instead of dedicated servers to enhance the resource …

[HTML][HTML] Edge intelligence for service function chain deployment in NFV-enabled networks

MA Khoshkholghi, T Mahmoodi - Computer Networks, 2022 - Elsevier
With evolution of network function virtualization (NFV), network services can be provided as
service function chains (SCs), each consisting of multiple virtual network functions (VNFs) …

Optimal VNF placement via deep reinforcement learning in SDN/NFV-enabled networks

J Pei, P Hong, M Pan, J Liu… - IEEE Journal on Selected …, 2019 - ieeexplore.ieee.org
The emerging paradigm-Software-Defined Networking (SDN) and Network Function
Virtualization (NFV)-makes it feasible and scalable to run Virtual Network Functions (VNFs) …

Machine learning for dynamic resource allocation in network function virtualization

S Schneider, NP Satheeschandran… - 2020 6th IEEE …, 2020 - ieeexplore.ieee.org
Network function virtualization (NFV) proposes to replace physical middleboxes with more
flexible virtual network functions (VNFs). To dynamically adjust to ever-changing traffic …

Online fault-tolerant VNF chain placement: A deep reinforcement learning approach

W Mao, L Wang, J Zhao, Y Xu - 2020 IFIP Networking …, 2020 - ieeexplore.ieee.org
Since Network Function Virtualization (NFV) decouples network functions (NFs) from the
underlying dedicated hardware and realizes them in the form of software called Virtual …

Priority-awareness VNF migration method based on deep reinforcement learning

H Qu, K Wang, J Zhao - Computer Networks, 2022 - Elsevier
By decoupling the software function on hardware devices, Network Function Virtualization
(NFV) provides a new service architecture named Service Function Chain (SFC), which …