Generating a function for network delay

Article type: Research Article

Authors: Sukhov, A.M.^{a; *} | Astrakhantseva, M.A.^b | Pervitsky, A.K.^a | Boldyrev, S.S.^a | Bukatov, A.A.^c

Affiliations: [a] Samara National Research University, Moskovskoe sh. 34A, Samara, 443086, Russia. E-mails: [email protected], [email protected], [email protected] | [b] Lucerne University of Applied Science and Arts, Hochschule Luzern-Wirtschaft, Zentralstrasse 9, Luzern, Switzerland. E-mail: [email protected] | [c] Southern Federal University, pr. Stachki, 200/1, Rostov-on-Don, 344090, Russia. E-mail: [email protected]

Correspondence: [*] Corresponding author. E-mail: [email protected].

Abstract: This article is devoted to the search for a generating function for network delay simulation. We justify the choice of the measurement system used to collect delay data with microsecond accuracy. Experimental data are employed in order to form a hypothesis regarding the exponential type of delay. The paper is restricted to the study of the simplest two cases: the linear and quadratic dependence of the delay distribution function. The application of the Pearson criterion led to the conclusion that an exponential distribution can be used to describe network delay, but is valid only for small periods from 10 to 30 minutes. We also justify the expression for the distribution function and generating function for further theoretical and experimental calculations.

Keywords: Exponential distribution for network delay, truncated normal distribution, generating function for network delay, RIPE Test Box

DOI: 10.3233/JHS-160552

Journal: Journal of High Speed Networks, vol. 22, no. 4, pp. 321-333, 2016