Virtual network function migration based on dynamic resource requirements prediction

L Tang, X He, P Zhao, G Zhao, Y Zhou, Q Chen - IEEE Access, 2019 - ieeexplore.ieee.org
Network function virtualization (NFV) enables flexible deployment of virtual network function
(VNF) in 5G mobile communication network. Due to the inherent dynamics of network flows …

Efficient flow migration for NFV with graph-aware deep reinforcement learning

P Sun, J Lan, J Li, Z Guo, Y Hu, T Hu - Computer Networks, 2020 - Elsevier
Abstract Network Function Virtualization (NFV) enables flexible deployment of network
services as applications. However, it is a big challenge to guarantee the Quality of Service …

Fine-grained cloud resource provisioning for virtual network function

H Yu, J Yang, C Fung - IEEE Transactions on network and …, 2020 - ieeexplore.ieee.org
The deployment of Virtualized Network Functions is expected to be dynamic and swift when
using Network Function Virtualization technology. The dynamic nature of workload from …

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 …

Service function chain embedding for NFV-enabled IoT based on deep reinforcement learning

X Fu, FR Yu, J Wang, Q Qi, J Liao - IEEE Communications …, 2019 - ieeexplore.ieee.org
It is challenging to efficiently manage different resources in the IoT. Recently, Network
function virtualization has attracted attention because of its prospect to achieve efficient …

Online joint VNF chain composition and embedding for 5G networks

J Li, W Shi, Q Ye, W Zhuang, X Shen… - 2018 IEEE Global …, 2018 - ieeexplore.ieee.org
Network function virtualization (NFV) is one of the enabling technologies for fifth generation
(5G) networks. How to allocate physical resources to customized network services both fairly …

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-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 …

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 …

An opportunistic resource sharing and topology-aware mapping framework for virtual networks

S Zhang, Z Qian, J Wu, S Lu - 2012 Proceedings IEEE …, 2012 - ieeexplore.ieee.org
Network virtualization provides a promising way to overcome Internet ossification. A major
challenge is virtual network mapping, ie, how to embed multiple virtual network requests …