Tuning optimal traffic measurement parameters in virtual networks with machine learning.
Karyna GogunskaChadi BarakatGuillaume Urvoy-KellerPublished in: CloudNet (2019)
Keyphrases
- machine learning
- network parameters
- parameter settings
- optimal parameters
- parameter tuning
- virtual environment
- fine tuning
- social networks
- traffic engineering
- telecommunication networks
- dynamic programming
- high speed networks
- traffic patterns
- augmented reality
- learning algorithm
- natural language processing
- parameter estimation
- data mining
- transportation systems
- tuning parameters
- computer vision
- internet traffic
- measurement data
- transportation networks
- decision trees
- optimal solution
- computer networks
- closed form
- machine learning algorithms
- network resources
- bayesian networks
- traffic congestion
- active learning
- feature selection
- network traffic
- network structure
- fine tuned
- worst case
- maximum likelihood