@inproceedings{9218791074a04e06b1b1ed4885eeda6f,
title = "Machine learning based adaptive flow classification for optically interconnected data centers",
abstract = "We optimize flow placement for a hybrid network implementing an adaptive neural network classifier. We predict elephant flows with high accuracy on anonymized university network traffic. We also demonstrate the capability to perform highly complex actions at 40 Gbps using less than 5% of co-processor capacity. This shows that it is possible to implement intelligent actions such as a neural network in a data center using fully programmable NICs without handicapping the server CPU.",
keywords = "circuit-switched, networks, optical interconnects",
author = "Nicolaas Viljoen and Houman Rastegarfar and Mingwei Yang and John Wissinger and Madeleine Glick",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 18th International Conference on Transparent Optical Networks, ICTON 2016 ; Conference date: 10-07-2016 Through 14-07-2016",
year = "2016",
month = aug,
day = "23",
doi = "10.1109/ICTON.2016.7550294",
language = "English (US)",
series = "International Conference on Transparent Optical Networks",
publisher = "IEEE Computer Society",
booktitle = "2016 18th International Conference on Transparent Optical Networks, ICTON 2016",
}