Topology-aware prediction of virtual network function resource requirements

R Mijumbi, S Hasija, S Davy, A Davy… - … on Network and …, 2017 - ieeexplore.ieee.org
Network functions virtualization (NFV) continues to gain attention as a paradigm shift in the
way telecommunications services are deployed and managed. By separating network …

A connectionist approach to dynamic resource management for virtualised network functions

R Mijumbi, S Hasija, S Davy, A Davy… - … on network and …, 2016 - ieeexplore.ieee.org
Network Functions Virtualisation (NFV) continues to gain attention as a paradigm shift in the
way telecommunications services are deployed and managed. By separating Network …

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 …

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 …

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 …

[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) …

Deep reinforcement learning for topology-aware VNF resource prediction in NFV environments

N Jalodia, S Henna, A Davy - 2019 IEEE Conference on …, 2019 - ieeexplore.ieee.org
Network Function Virtualisation (NFV) has emerged as a key paradigm in network
softwarisation, enabling virtualisation in future generation networks. Once deployed, the …

A deep reinforcement learning approach for VNF forwarding graph embedding

PTA Quang, Y Hadjadj-Aoul… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Network Function Virtualization (NFV) and service orchestration simplify the deployment and
management of network and telecommunication services. The deployment of these services …

MAPLE: A machine learning approach for efficient placement and adjustment of virtual network functions

OA Wahab, N Kara, C Edstrom, Y Lemieux - Journal of Network and …, 2019 - Elsevier
As one of the many advantages of cloud computing, Network Function Virtualization (NFV)
has revolutionized the network and telecommunication industry through enabling the …

Joint optimization of service function chaining and resource allocation in network function virtualization

L Wang, Z Lu, X Wen, R Knopp, R Gupta - IEEE Access, 2016 - ieeexplore.ieee.org
Network function virtualization (NFV) has already been a new paradigm for network
architectures. By migrating NFs from dedicated hardware to virtualization platform, NFV can …