Predictive networking and optimization for flow-based networks
arXiv:1707.06729
Abstract
Artificial Neural Networks (ANNs) were used to classify neural network flows by flow size. After training the neural network was able to predict the size of a flows with 87% accuracy with a Feed Forward Neural Network. This demonstrates that flow based routers can prioritize candidate flows with a predicted large number of packets for priority insertion into hardware content-addressable memory.
A thesis submitted for the Master of Science Degree at The University of Alabama in Huntsville