Statistical data handling program of Wireshark analyzer and incoming traffic research
https://doi.org/10.15514/ISPRAS-2015-27(3)-21
Abstract
The paper presents a plugin to the Wireshark traffic analyzer to calculate the moments of the random variable - the interval between packets of incoming traffic. The article also presents the analytical solution for the average waiting time for a QS type H2/M/1. Here H2 is the 2nd order hyperexponential distribution law of the input flow time intervals. The final result is obtained as a solution of Lindley’s integral equation using the method of spectral decomposition. It is shown that in this case the distribution laws of intervals between input flow requirements can be approximated at the level of their three first moments. The joint use of these results allows to fully analyze the incoming traffic by queuing methods.
About the Authors
Veniamin Tarasov
PSUTI
Russian Federation
Russian Federation
Sergey Malakhov
PSUTI
Russian Federation
Russian Federation
References
1. Wireshark official web-site URL: http://www.wireshark.org/
2. Tarasov V.N., Bakhareva N.F., Gorelov G.A. Mathematizheskaya model trafica s tyazhelohvostnym raspredeleniem na osnove sistemy massovogo obsluzhivaniya Н2/М/1. [Mathematical model of traffic from heavy-tailed distributions with based queuing system H2/M/1]. Infocommunicationye tehnologii, 2014, no. 3, pp.36-41.
3. Kleinrock L. Queueing Theory. Tran. from English. edited by V.I. Neumann. M. Mechanical Engineer-ing, 1979.
Review
For citations:
Tarasov V., Malakhov S. Statistical data handling program of Wireshark analyzer and incoming traffic research. Proceedings of the Institute for System Programming of the RAS (Proceedings of ISP RAS). 2015;27(3):303-314. (In Russ.) https://doi.org/10.15514/ISPRAS-2015-27(3)-21
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