[Idnet] Uses case for ML -- automating traffic prioritisation

grenville armitage <garmitage@swin.edu.au> Thu, 30 March 2017 00:02 UTC

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From: grenville armitage <garmitage@swin.edu.au>
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Subject: [Idnet] Uses case for ML -- automating traffic prioritisation
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Apologies for some repetition here -- I sent an earlier version of the below note to nmlrg@irtf.org in October last year, but then ran out of cycles to further engage in discussion. Just in case the idnet@ list has slightly expanded membership, here's a lightly-expanded version of the information again:

Between ~2005 and ~2012 my group explored the application of machine learning to the task of classifying application flows. One of the specific use cases was to classify traffic that required different QoS treatment, and automate the subsequent configuration of bottleneck home gateways to achieve said QoS treatment. A more topical variant might be to use ML for recognising traffic you wish to de-prioritise (e.g. protection from DoS, enforcing scavenger-class service, etc)

Our top-level DIFFUSE project page: http://caia.swin.edu.au/urp/diffuse/
A proof-of-concept implemented in OpenWRT: http://caia.swin.edu.au/urp/diffuse/openwrt/
(pre-cursor to DIFFUSE: http://caia.swin.edu.au/sitcrc/angel, and even earlier work on statistical traffic classification: http://caia.swin.edu.au/urp/dstc)

Some past academic papers that might be of (historical) interest:

Thuy T. T. Nguyen, Grenville Armitage, Philip Branch and Sebastian Zander.
Timely and Continuous Machine-Learning-Based Classification for Interactive IP Traffic
IEEE/ACM Transactions on Networking, vol. 20 no. 6 pp. 1880-1894, December 2012
http://dx.doi.org/10.1109/TNET.2012.2187305

Thuy Nguyen and Grenville Armitage.
A Survey of Techniques for Internet Traffic Classification using Machine Learning
IEEE Communications Surveys & Tutorials, vol. 10 no. 4 pp. 56-76, 2008
http://dx.doi.org/10.1109/SURV.2008.080406

Jason But, Grenville Armitage and Lawrence Stewart.
Outsourcing Automated QoS Control of Home Routers for a Better Online Game Experience
IEEE Communications Magazine, vol. 46, no. 12, pp.64-70, December 2008
http://dx.doi.org/10.1109/MCOM.2008.4689209

cheers,
gja