DeepFlow: Towards Network-Wide Ingress Traffic Prediction Using Machine Learning At Large Scale.
Sebastian FischerKaterina KatsarouOliver HolschkePublished in: ISNCC (2020)
Keyphrases
- machine learning
- network traffic
- massive scale
- telecommunication networks
- traffic analysis
- prediction accuracy
- network traffic monitoring
- origin destination
- internet traffic
- machine learning methods
- computer networks
- network resources
- radial basis function network
- traffic data
- network structure
- prediction model
- traffic patterns
- resource utilization
- high speed networks
- transportation networks
- network layer
- anomaly detection
- decision trees
- feature selection
- traffic volume
- internet service providers
- elman network
- real time
- atm networks
- congestion control
- peer to peer
- machine learning algorithms
- network monitoring
- traffic light
- ip address
- information extraction
- traffic load
- learning algorithm
- traffic flows
- real world
- network management
- communication networks
- mesh network