Generating a function for network delay.

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Bibliographic Details
Title: Generating a function for network delay.
Authors: Sukhov, A. M.1 amskh@yandex.ru, Astrakhantseva, M. A.2 mariia.astrakhantceva@hslu.ch, Pervitsky, A. K.1 pervitskiy.alex@mail.ru, Boldyrev, S. S.1 seargeb@gmail.com, Bukatov, A. A.3 baa@sfedu.ru
Source: Journal of High Speed Networks. 2016, Vol. 22 Issue 4, p321-333. 13p.
Subjects: Computer network design & construction, Delay-tolerant networks, Acquisition of data, Pearson correlation (Statistics), Data distribution
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. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
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. [ABSTRACT FROM AUTHOR]
ISSN:09266801
DOI:10.3233/JHS-160552