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 …
function as virtual instances, which reduces the cost on various middlebox hardware. A …
Two-phase virtual network function selection and chaining algorithm based on deep learning in SDN/NFV-enabled networks
With the advances of Software-Defined Networks (SDN) and Network Function Virtualization
(NFV), Service Function Chain (SFC) has been becoming a popular paradigm to carry and …
(NFV), Service Function Chain (SFC) has been becoming a popular paradigm to carry and …
Drive: Dynamic resource introspection and vnf embedding for 5g using machine learning
The network slicing (NS) technique is comprehensively reshaping the next-generation
communication networks (eg, 5G and 6G). Software-defined networking (SDN) and network …
communication networks (eg, 5G and 6G). Software-defined networking (SDN) and network …
Drl-sfcp: Adaptive service function chains placement with deep reinforcement learning
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 …
deployed on commodity servers instead of dedicated servers to enhance the resource …
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 …
services as applications. However, it is a big challenge to guarantee the Quality of Service …
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 …
deliver various networks flexibly and rapidly. In particular, products and services that build …
Optimal resource allocation in sdn/nfv-enabled networks via deep reinforcement learning
Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) are two
emerging paradigms that enable the feasible and scalable deployment of Virtual Network …
emerging paradigms that enable the feasible and scalable deployment of Virtual Network …
A-DDPG: Attention mechanism-based deep reinforcement learning for NFV
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 …
virtual network functions (VNFs) are placed and (2) how the traffic is routed. Unfortunately …
Virtual network function selection and chaining based on deep learning in SDN and NFV-enabled networks
J Pei, P Hong, D Li - 2018 IEEE International Conference on …, 2018 - ieeexplore.ieee.org
Software-Defined Network (SDN) and Network Function Virtualization (NFV) make Service
Function Chain (SFC) become a popular service paradigm. For an SFC Request (SFCR) …
Function Chain (SFC) become a popular service paradigm. For an SFC Request (SFCR) …
Topology-aware prediction of virtual network function resource requirements
Network functions virtualization (NFV) continues to gain attention as a paradigm shift in the
way telecommunications services are deployed and managed. By separating network …
way telecommunications services are deployed and managed. By separating network …