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Machine Learning (ML) classifiers have been shown to provide accurate, timely and continuous IP flow classification when evaluating sub-flows (short moving windows of packets within flows). They can be used to provide automated QoS management for interactive traffic, such as fast-paced multiplayer games or VoIP. As with other ML classification approaches, previous sub-flow techniques have assumed...
A multi-service Internet requires routers to recognise and prioritise IP flows carrying interactive or multimedia traffic. It is increasingly problematic for legal or administrative reasons to recognise such flows using unique port numbers or deep packet inspection. New work in recent years shows that Machine Learning (ML) techniques can use externally observable statistical characteristics to usefully...
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