CREATING THE MODEL OF TRAFFIC AND TIME DEPENDENCE AND ITS SOFTWARE PROGRAM IN CORPORATE NETWORKS - Problems of Information Technology

CREATING THE MODEL OF TRAFFIC AND TIME DEPENDENCE AND ITS SOFTWARE PROGRAM IN CORPORATE NETWORKS - Problems of Information Technology

CREATING THE MODEL OF TRAFFIC AND TIME DEPENDENCE AND ITS SOFTWARE PROGRAM IN CORPORATE NETWORKS - Problems of Information Technology

CREATING THE MODEL OF TRAFFIC AND TIME DEPENDENCE AND ITS SOFTWARE PROGRAM IN CORPORATE NETWORKS - Problems of Information Technology

CREATING THE MODEL OF TRAFFIC AND TIME DEPENDENCE AND ITS SOFTWARE PROGRAM IN CORPORATE NETWORKS - Problems of Information Technology
CREATING THE MODEL OF TRAFFIC AND TIME DEPENDENCE AND ITS SOFTWARE PROGRAM IN CORPORATE NETWORKS - Problems of Information Technology
AZERBAIJAN NATIONAL ACADEMY OF SCIENCES

№1, 2012

CREATING THE MODEL OF TRAFFIC AND TIME DEPENDENCE AND ITS SOFTWARE PROGRAM IN CORPORATE NETWORKS

Ayten A. Huseynova

The article is dedicated to the investigation of the model and software program development for the traffic and time dependance in corporate networks. It was shown that distribution of traffic has a certain flow within workdays of the week. Therefore, the Fourier series numbers have been used in modeling the dependance between traffic and time. The sofrware part of the model was developed based on Delphi Programming. To check the results of the model the outcomes of the AzScienceNet network of ANAS were used. (pp. 10-16)

Keywords: fourier series, distribution of traffic, model of dependance between trafic and time, forecast of traffic
References
  • Lazar I., Terill W. Exploring content delivery network // IT Professional, 2001, vol.3, no.4, pp.47–49.
  • Алгулиев Р.М., Алыгулиев Р.М., ГусейноваА.А. Повышение эффективности корпоративных сетей с применением CDN-технологии //Информационные технологии, 2008, №7, с.2–9.
  • Hablinger G.,Hartleb F. Content delivery and caching from a network provider’s perspective // Computer Networks, 2011, vol.55, no.18, pp.3991–4006.
  • Peter Bloomfield. Fourier Analysis of Time Series. John Wiley & Sons, 2004, p. 288.
  • Анатолий Хомоненко и др. Delphi Санкт-Петербург, «БХВ Петербург», 2008, с. 1200.