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 …
Network resource allocation strategy based on deep reinforcement learning
S Zhang, C Wang, J Zhang, Y Duan… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
The traditional Internet has encountered a bottleneck in allocating network resources for
emerging technology needs. Network virtualization (NV) technology as a future network …
emerging technology needs. Network virtualization (NV) technology as a future network …
VNE solution for network differentiated QoS and security requirements: from the perspective of deep reinforcement learning
The rapid development and deployment of network services has brought a series of
challenges to researchers. On the one hand, the needs of Internet end users/applications …
challenges to researchers. On the one hand, the needs of Internet end users/applications …
Deep reinforcement learning based VNF management in geo-distributed edge computing
Edge computing is an effective approach for resource provisioning at the network edge to
host virtualized network functions (VNF). Considering the cost diversity in edge computing …
host virtualized network functions (VNF). Considering the cost diversity in edge computing …
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 …
Slicing-based resource optimization in multi-access edge network using ensemble learning aided DDPG algorithm
Recently, the technological development in edge computing and content caching can
provide high-quality services for users in the wireless communication networks. As a …
provide high-quality services for users in the wireless communication networks. As a …
CE-VNE: Constraint escalation virtual network embedding algorithm assisted by graph convolutional networks
With the advent of Industry 5.0, access devices are becoming more and more demanding on
the network. For example, in areas such as financial transactions, drone control and …
the network. For example, in areas such as financial transactions, drone control and …
Dynamic resource aware VNF placement with deep reinforcement learning for 5G networks
A Dalgkitsis, PV Mekikis… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
The increasing demand for fast, reliable, and robust network services has driven the
telecommunications industry to design novel network architectures that employ Network …
telecommunications industry to design novel network architectures that employ Network …
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 …
DeepNFV: A lightweight framework for intelligent edge network functions virtualization
Traditional Network Functions Virtualization (NFV) implementations are somehow too heavy
and do not have enough functionality to conduct complex tasks. In this work, we propose a …
and do not have enough functionality to conduct complex tasks. In this work, we propose a …