Optimizing Network Slicing in Distributed Large Scale Infrastructures: From Heuristics to Controlled Deep Reinforcement Learning.
José Jurandir Alves EstevesAmina BoubendirFabrice GuilleminPierre SensPublished in: NOMS (2023)
Keyphrases
- reinforcement learning
- peer to peer
- distributed network
- computer networks
- multi agent
- network structure
- communication overhead
- peer to peer networks
- massive scale
- small scale
- distributed systems
- communication cost
- network nodes
- distributed environment
- central server
- function approximation
- data intensive
- mobile sensor
- real world
- cooperative
- wireless sensor networks
- state space
- neural network
- search algorithm
- network infrastructure
- open systems
- function approximators
- community structure
- intrusion detection
- network resources
- reinforcement learning algorithms
- temporal difference
- load balancing
- network model
- markov decision processes