Analysis of Ethernet Traffic Statistical Properties | Zendy

Michal Kocisky | Zendy; Jozef Lasz | Zendy; Ivan Kotuliak | Zendy

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Analysis of Ethernet Traffic Statistical Properties

Author(s) -

Michal Kocisky,

Jozef Lasz,

Ivan Kotuliak

Publication year - 2007

Publication title -

journal of computing and information technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.169

H-Index - 27

eISSN - 1846-3908

pISSN - 1330-1136

DOI - 10.2498/cit.1000878

Subject(s) - computer science , self similarity , ethernet , similarity (geometry) , computer network , protocol (science) , real time computing , artificial intelligence , mathematics , geometry , image (mathematics) , medicine , alternative medicine , pathology

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 protoco

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