Self-Supervised Learning Approaches for Traffic Engineering in Software-Defined Networks
Self-Supervised Learning Approaches for Traffic Engineering in Software-Defined Networks
Deva Priya Isravel,S. Silas,E. Rajsingh
2020 · DOI: 10.1007/978-981-33-6984-9_41
Advances in Intelligent Systems and Computing · 1 Citations
TLDR
A self-supervised learning approach to classify traffic is proposed to optimize the scheduling of traffic to obtain reduced latency and packet loss and find a learning mechanism that obtains better results in detecting exploits that degrade the performance.