Analysis of Ethernet Traffic Statistical Properties

Michal Kociský, Jozef Lasz, Ivan Kotuliak


Traffic profile, mainly its self-similarity properties, can have crucial impact on the network performance. In this regard, we evaluate traffic profile of Ethernet traffic. We have performed a measurement of the traffic on Ethernet network. Captured data has been analyzed from the protocol point of view with the stress on the self-similarity, LRD and SRD properties. To evaluate these characteristics, properties of wavelet transform (DWT) are deployed and, based on alpha parameter, scaling property of traffic is estimated. We show that self-similarity is present in analyzed data and that it depends on analyzed time scale and on analyzed protocol

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This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License.

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