[HTML][HTML] A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
that solve problems and enable automation in diverse domains. Primarily, this is due to the …
Network function virtualization: State-of-the-art and research challenges
R Mijumbi, J Serrat, JL Gorricho… - … surveys & tutorials, 2015 - ieeexplore.ieee.org
Network function virtualization (NFV) has drawn significant attention from both industry and
academia as an important shift in telecommunication service provisioning. By decoupling …
academia as an important shift in telecommunication service provisioning. By decoupling …
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 …
A survey of networking applications applying the software defined networking concept based on machine learning
The main task of future networks is to build, as much as possible, intelligent networking
architectures for intellectualization, activation, and customization. Software-defined …
architectures for intellectualization, activation, and customization. Software-defined …
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 …
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 …
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 …
Data-driven dynamic resource scheduling for network slicing: A deep reinforcement learning approach
Network slicing is designed to support a variety of emerging applications with diverse
performance and flexibility requirements, by dividing the physical network into multiple …
performance and flexibility requirements, by dividing the physical network into multiple …
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 …
Software defined 5G and 6G networks: A survey
The current mobile communications could not satisfy the explosive data requirement of
users. This paper reviews the frontier technology of software definition networks (SDN) of 5G …
users. This paper reviews the frontier technology of software definition networks (SDN) of 5G …