Automatic virtual network embedding: A deep reinforcement learning approach with graph convolutional networks
Z Yan, J Ge, Y Wu, L Li, T Li - IEEE Journal on Selected Areas …, 2020 - ieeexplore.ieee.org
Virtual network embedding arranges virtual network services onto substrate network
components. The performance of embedding algorithms determines the effectiveness and …
components. The performance of embedding algorithms determines the effectiveness and …
Virtual network function placement optimization with deep reinforcement learning
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 …
Dynamic reservation and deep reinforcement learning based autonomous resource slicing for virtualized radio access networks
The elastic reconstruction of 5G network services is expected to provide the capability of
network slice orchestration to access the network on demand, guarantee service experience …
network slice orchestration to access the network on demand, guarantee service experience …
A novel reinforcement learning algorithm for virtual network embedding
Network virtualization enables the share of a physical network among multiple virtual
networks. Virtual network embedding determines the effectiveness of utilization of network …
networks. Virtual network embedding determines the effectiveness of utilization of network …
Security-aware virtual network embedding algorithm based on reinforcement learning
Virtual network embedding (VNE) algorithm is always the key problem in network
virtualization (NV) technology. At present, the research in this field still has the following …
virtualization (NV) technology. At present, the research in this field still has the following …
A continuous-decision virtual network embedding scheme relying on reinforcement learning
Network Virtualization (NV) techniques allow multiple virtual network requests to beneficially
share resources on the same substrate network, such as node computational resources and …
share resources on the same substrate network, such as node computational resources and …
A survey on slice admission control strategies and optimization schemes in 5G network
The Fifth Generation (5G) communication network is envisioned to provide heterogeneous
services tailored to specific user demands. These services are diverse and can be generally …
services tailored to specific user demands. These services are diverse and can be generally …
DeepViNE: Virtual network embedding with deep reinforcement learning
Virtual Network Embedding (VNE) is a crucial problem in network virtualization. Prior work
on VNE is mainly focused on optimization-based solutions that are carefully constructed and …
on VNE is mainly focused on optimization-based solutions that are carefully constructed and …
RKD-VNE: Virtual network embedding algorithm assisted by resource knowledge description and deep reinforcement learning in IIoT scenario
In the era of Industry 4.0, the Industrial Internet of Things (IIoT) is develo** rapidly, various
IIoT applications pose new challenges to the existing network architecture. On the one hand …
IIoT applications pose new challenges to the existing network architecture. On the one hand …
RDAM: A reinforcement learning based dynamic attribute matrix representation for virtual network embedding
Network virtualization makes it possible to manage multiple virtual networks simultaneously
on substrate physical networks. Virtual network embedding (VNE) is the critical step of …
on substrate physical networks. Virtual network embedding (VNE) is the critical step of …