Enabling Scalable Routing in Software-Defined Networks With Deep Reinforcement Learning on Critical Nodes.
Penghao SunZehua GuoJunfei LiYang XuJulong LanYuxiang HuPublished in: IEEE/ACM Trans. Netw. (2022)
Keyphrases
- reinforcement learning
- network topologies
- wireless ad hoc networks
- network structure
- network nodes
- shortest path
- network topology
- mobile nodes
- interconnection networks
- real world networks
- link failure
- routing algorithm
- node density
- destination node
- complex networks
- traffic engineering
- ad hoc networks
- packet forwarding
- mobile ad hoc networks
- information networks
- packet delivery
- function approximation
- machine learning
- differentiated services
- network analysis
- small world
- computer systems
- software systems
- path selection
- multicast tree
- community detection
- dynamic routing
- state space
- fully connected
- intermediate nodes
- network layer
- ip addresses
- multi hop
- centrality measures
- network connectivity
- network resources
- mobile networks
- community structure
- computer networks
- markov decision processes
- routing protocol
- peer to peer
- software development
- source code
- software engineering
- social networks