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 …
management of network and telecommunication services. The deployment of these services …
Multi-domain non-cooperative VNF-FG embedding: A deep reinforcement learning approach
Network Function Virtualization (NFV) and service orchestration simplify the deployment and
management of network and telecommunication services. The deployment of these services …
management of network and telecommunication services. The deployment of these services …
Scalable orchestration of service function chains in NFV-enabled networks: A federated reinforcement learning approach
Network function virtualization (NFV) is critical to the scalability and flexibility of various
network services in the form of service function chains (SFCs), which refer to a set of Virtual …
network services in the form of service function chains (SFCs), which refer to a set of Virtual …
Leveraging deep reinforcement learning with attention mechanism for virtual network function placement and routing
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 …
Single and multi-domain adaptive allocation algorithms for VNF forwarding graph embedding
Network function virtualization (NFV) will simplify deployment and management of network
and telecommunication services. NFV provides flexibility by virtualizing the network …
and telecommunication services. NFV provides flexibility by virtualizing the network …
Virtualized network function forwarding graph placing in SDN and NFV-enabled IoT networks: A graph neural network assisted deep reinforcement learning method
Y Xie, L Huang, Y Kong, S Wang, S Xu… - … on Network and …, 2021 - ieeexplore.ieee.org
With an ambitious increase in the number of Internet of Things (IoT) terminals, IoT networks
face a huge challenge which is providing diverse and complex network services with …
face a huge challenge which is providing diverse and complex network services with …
Machine learning for performance-aware virtual network function placement
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 …
task of reducing their capital and operational expenses while simultaneously improving …
Intelligent VNF orchestration and flow scheduling via model-assisted deep reinforcement learning
Hosting virtualized network functions (VNF) has been regarded as an effective way to realize
network function virtualization (NFV). Considering the cost diversity in cloud computing, from …
network function virtualization (NFV). Considering the cost diversity in cloud computing, from …
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 …
evolves network functions, traditionally deployed over dedicated equipment, to software …
Service function chain embedding for NFV-enabled IoT based on deep reinforcement learning
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 …
function virtualization has attracted attention because of its prospect to achieve efficient …