Deep Reinforcement Learning-Based Traffic Sampling for Multiple Traffic Analyzers on Software-Defined Networks.
Sunghwan KimSeunghyun YoonHyuk LimPublished in: IEEE Access (2021)
Keyphrases
- reinforcement learning
- internet traffic
- telecommunication networks
- transportation systems
- network traffic
- traffic flow
- high speed networks
- network resources
- traffic control
- function approximation
- traffic network
- random sampling
- software architecture
- road traffic
- social networks
- traffic management
- transportation networks
- traffic congestion
- monte carlo
- traffic flows
- computer systems
- software systems
- real time
- road network
- source code
- peer to peer
- network management
- user interface
- learning algorithm
- machine learning
- neural network