A Reinforcement Learning Approach for Virtual Network Function Chaining and Sharing in Softwarized Networks.
Godfrey KibalyaJoan Serrat-FernándezJuan-Luis GorrichoPeiying ZhangPublished in: IEEE Trans. Netw. Serv. Manag. (2022)
Keyphrases
- reinforcement learning
- network structure
- network model
- complex networks
- computer networks
- network size
- network design
- network parameters
- network topologies
- heterogeneous networks
- dynamic networks
- scale free
- counter propagation
- sparsely connected
- community structure
- fully connected
- network resources
- cellular networks
- transport network
- real world networks
- network nodes
- virtual environment
- information networks
- information diffusion
- augmented reality
- small world
- connectionist networks
- network connectivity
- recurrent networks
- high bandwidth
- criminal networks
- cohesive subgroups
- internet traffic
- peer to peer
- network analysis
- information dissemination
- social networks
- virtual world
- transition model
- social network analysis
- network traffic
- citation networks
- communication networks
- function approximation
- network management
- power law
- peer to peer networks
- telecommunication networks
- function approximators
- control policy
- centrality measures
- spiking neural networks
- policy gradient
- reinforcement learning algorithms
- optimal policy
- neural network