Deep Learning Traffic Prediction to Optimize Routing Paths and Reduce Latency in SDN.
Rui XiongQianchen YuanHao ZhangXiaoming WangKun MaPublished in: ICPS (2023)
Keyphrases
- deep learning
- bandwidth consumption
- unsupervised learning
- shortest path
- unsupervised feature learning
- link failure
- wavelength division multiplexing
- machine learning
- traffic engineering
- network traffic
- weakly supervised
- mental models
- routing protocol
- decision support system
- deep architectures
- road network
- routing algorithm
- d objects
- high dimensional
- data mining