Computer network traffic analysis with the use of statistical self-similarity factor

• Autorzy: Dymora P. , Mazurek M. , Strzałka D.

Identyfikatory

DOI

10.2478/v10065-012-0040-0

• Języki publikacji: EN

Abstrakty

EN

The optimal computer network performance models require accurate traffic models, which can capture the statistical characteristic of actual traffic. If the traffic models do not represent traffic accurately, one may overestimate or underestimate the network performance. The paper presents confirmation of the self-similar nature of the selected protocols in the computer network communication layer. It shows that the good measure of self-similarity is a Hurst factor.

Słowa kluczowe

EN

network traffic analysis; self-similarity factor; Hurst factor

• Wydawca: Wydawnictwo UMCS
• Czasopismo: Annales Universitatis Mariae Curie-Skłodowska. Sectio AI, Informatica
• Rocznik: 2013
• Tom: Vol. 13, no. 1
• Strony: 69--81
• Opis fizyczny: Bibliogr. 13 poz., rys., tab.

Twórcy

autor

Dymora P.

• Rzeszów University of Technology, Faculty of Electrical and Computer Engineering, Department of Distributed Systems, ul. Wincentego Pola 2, 35-959 Rzeszów, Poland

autor

Mazurek M.

• Rzeszów University of Technology, Faculty of Electrical and Computer Engineering, Department of Distributed Systems, ul. Wincentego Pola 2, 35-959 Rzeszów, Poland

autor

Strzałka D.

• Rzeszów University of Technology, Faculty of Electrical and Computer Engineering, Department of Distributed Systems, ul. Wincentego Pola 2, 35-959 Rzeszów, Poland

Bibliografia

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• [5] Grabowski F., Strzałka D., Simple, complicated and complex systems – the brief introduction. in: 2008 Conference On Human System Interactions 1, 2 (2008): 576.
• [6] Dymora P., Mazurek M., Strzałka D., Statistical mechanics of memory pages reads during man–computer system interaction, Metody Informatyki Stosowanej 1 (26) (2011): 15.
• [7] Strzałka D., Szurlej P., Power-law distributions in hard drive behavior, Journal of Software Engineering and Applications 04(12) (2011): 710.
• [8] Strzałka D., Non-extensive statistical mechanics – a possible basis for modeling processes in computer memory system, Acta Physica Polonica A 117(4) (2010): 652.
• [9] Strzałka D., Grabowski F., Non-Extensive Thermodynamics of Algorithmic Processing - the Case of Insertion Sort Algorithm, in Thermodynamics, ed. Tadashi Mizutani, InTech (2011): 121.
• [10] Strzałka B., Mazurek M., Strzałka D., Queue Performance in Presence of Long-Range Dependencies – an Empirical Study, International Journal of Information Science 2(4) (2012): 47.
• [11] Dymora P., Mazurek M., Strzałka D., Long-range dependencies in memory pages reads during man-compute system interaction, Annales UMCS Informatica XII (2) (2012): 49.
• [12] Dymora P., Mazurek M., Strzałka D., Piękoś M., Influence of batch structure on cluster computing performance - complex systems approach, Annales UMCS Informatica XII (1) (2012): 57.
• [13] Eberbach E., Wegner P. Beyond Turing machines, Bulletin of the European Association for Theoretical Computer Science 81 (2003): 279.