Analysis of Ethernet Traffic Statistical Properties

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 selfsimilarity, LRD and SRD properties. To evaluate these characteristics, properties of wavelet transform (DWT) are deployed and, based onα 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.