Statistical data handling program of Wireshark analyzer and incoming traffic research

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.

Keywords

• анализатор трафика, программа wireshark, числовые характеристики случайной величины, интегральное уравнение линдли, метод спектрального разложения