Abstract

Diffserv was introduced by the IETF as a standard model to offer QoS across core networks. Diffserv supports a QoS feature based on differentiation traffic. So far, little interest has been granted on machine learning feature in QoS . In this paper, we evaluate the effectiveness of these model in QoS in various scenarios. We show that under very heavy network load, Diffserv with machine learning classification (MLC) have a limited effect on the QoS parameter.

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