Use Cases of Applying Machine Learning Mechanism with Network Traffic
draft-jiang-nmlrg-traffic-machine-learning-00

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Last updated 2016-12-05 (latest revision 2016-06-03)
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This Internet-Draft is no longer active. A copy of the expired Internet-Draft can be found at
https://www.ietf.org/archive/id/draft-jiang-nmlrg-traffic-machine-learning-00.txt

Abstract

This document introduces a set of use cases in which machine learning technologies are applied to network traffic relevant activities, including machine learning based traffic classification, traffic management, etc.

Authors

Sheng Jiang (jiangsheng@huawei.com)
Bing Liu (leo.liubing@huawei.com)
Panagiotis Demestichas (pdemestichas@gmail.com)
Jérôme François (jerome.francois@inria.fr)
Giovane Moura (giovane.moura@sidn.nl)
Pere Barlet (pbarlet@polygraph.io)

(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)