IPTV traffic management method

Main Article Content

V. A. Artemenko
K. A. Artemenko

Abstract

Analysis of the known methods of traffic management IPTV shows that most of them do not provide the desired uniformity of loading networks due to the fact that they do not take into account the nature of the self-similarity of network traffic. Built on the basis of a mathematical model of timing variation of packet delivery time takes into account the delay in the transmission between devices on the network, the delay time for each intermediate switch network and additional time delay switch boot, but does not account for the fractal nature of the process in the network.

The known mathematical model for spread of packet-based timing also does not account for fractal process in network IPTV.

The aim is to advance the formation of the forecast estimates the delay for various times. To solve this problem we propose a mathematical model to evaluate the prognosis of self-similar traffic based IPTV and based on that new mathematical model (proactive) the method of traffic management IPTV. Optimal forecast estimate the delay for a particular point in time, defined with respect to the parameter of self-similarity or Hurst. Simulation modeling of IP networks has shown that the proposed method of traffic management IPTV works effectively with the introduction of two additional thresholds assessing prognosis delays.

Ref. 9.

Article Details

How to Cite
Artemenko, V. A., & Artemenko, K. A. (2013). IPTV traffic management method. Electronics and Communications, 18(3), 70–75. https://doi.org/10.20535/2312-1807.2013.18.3.158591
Section
Systems of telecommunication, communication and information protection

References

Addie R, Zukerman M., Neame T. (1995), “Fractal Traffic: Measurements, Modelling and Performance Evaluation, Proceeding of IEEE INFOCOM’95”.

Banya E.N. (2008), “Computer networks, Tutorial: Publishing House K.” Korneichuk. P. 264.(Rus)

Bogdanova N.V. (2008), “The method that is capable of pіdvischennya efektivnostі upravlіnnya telekomunіkatsіynimi seines”. The Abstract. Kiev. (Rus)

Dmitry Tarasov (2012), “Studies performance monitoring system of next generation networks.” The Abstract. St. Petersburg. (Rus)

Gorodetsky A. J., Zaborowski In. C. (2000), “Informatics. Fractal processes in computer networks: a training manual”. St. Petersburg: St. Petersburg State University, P. 100. (Rus)

Makolkin, M. A. (2012), “Methods for assessing service quality IPTV: Tutorial”. Publishing House of the SUT. P. 16. (Rus)

Olifer V.G., Olifer N.A. (2002), "Computer networks. Principles, technologies, protocols, 2nd ed.” St. Peter Press, P. 680 (Rus)

Willinger W., Taqqu M. S., Erramilli A. (1996), “A Bibliographical Guide to Self-Similar Traffic and Performance Modelling for Modern High-Speed Networks, Stochastic Networks.” Theory and Applications, Oxford University Press. P. 128.

Stallings W. (2003), “Modern computer networks.” [2nd ed.], [Lane. from English.]. Peter, P. 783 (Series "Classic computer science»). (Rus)