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https://doi.org/10.2498/cit.1000878

Analysis of Ethernet Traffic Statistical Properties

Michal Kociský
Jozef Lasz
Ivan Kotuliak

Puni tekst: engleski, pdf (634 KB) str. 15-21 preuzimanja: 418* citiraj
APA 6th Edition
Kociský, M., Lasz, J. i Kotuliak, I. (2008). Analysis of Ethernet Traffic Statistical Properties. Journal of computing and information technology, 16 (1), 15-21. https://doi.org/10.2498/cit.1000878
MLA 8th Edition
Kociský, Michal, et al. "Analysis of Ethernet Traffic Statistical Properties." Journal of computing and information technology, vol. 16, br. 1, 2008, str. 15-21. https://doi.org/10.2498/cit.1000878. Citirano 05.03.2021.
Chicago 17th Edition
Kociský, Michal, Jozef Lasz i Ivan Kotuliak. "Analysis of Ethernet Traffic Statistical Properties." Journal of computing and information technology 16, br. 1 (2008): 15-21. https://doi.org/10.2498/cit.1000878
Harvard
Kociský, M., Lasz, J., i Kotuliak, I. (2008). 'Analysis of Ethernet Traffic Statistical Properties', Journal of computing and information technology, 16(1), str. 15-21. https://doi.org/10.2498/cit.1000878
Vancouver
Kociský M, Lasz J, Kotuliak I. Analysis of Ethernet Traffic Statistical Properties. Journal of computing and information technology [Internet]. 2008 [pristupljeno 05.03.2021.];16(1):15-21. https://doi.org/10.2498/cit.1000878
IEEE
M. Kociský, J. Lasz i I. Kotuliak, "Analysis of Ethernet Traffic Statistical Properties", Journal of computing and information technology, vol.16, br. 1, str. 15-21, 2008. [Online]. https://doi.org/10.2498/cit.1000878

Sažetak
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

Hrčak ID: 44602

URI
https://hrcak.srce.hr/44602

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