Извините, этот техт доступен только в “Американский Английский”. For the sake of viewer convenience, the content is shown below in the alternative language. You may click the link to switch the active language.
FORMATION OF THE EQUIVALENT VOICE TRAFFIC SIMULATION GENERATO MODEL USED IN PACKET-ORIENTED TRANSPORT COMMUNICATION NETWORKS
Andrey K. Kanaev, St.Petersburg state transport university of the emperor Alexander I, St.Petersburg, Russia, kanaevak@mail.ru
Mikhail M. Lukichev, St.Petersburg state transport university of the emperor Alexander I, St.Petersburg, Russia, mixailspbpy@mail.ru
Alexander A. Privalov, Federal State Budgetary Educational Institution of Higher Education «Russian University of Transport (MIIT)», Moscow, Russia
Abstract
Simulation modeling allows determining the parameters of the quality of functioning of packet-oriented transport communication networks. These parameters include delays and delay variations, as well as IP packet loss and distortion coefficients [1]. To obtain the most accurate values of IP packet delay variation in the study of transport communication networks, it is necessary to generate a generator of the considered network load that repeats the most significant time characteristics; otherwise the result of the entire model may be incorrect. This article discusses the process of forming an equivalent generator of voice traffic in packet-oriented technological communication networks, consisting of the following stages:
1. Creation of a model for the study of the time-frequency characteristics of the voice traffic creating by one user of the telephone service on the basis of packet-oriented technological communication networks, preparation and collection of statistical information.
2. Analysis of voice traffic obtained experimentally using by part the transport communication network, selection most significant components of the studied flow, as well as the formation of its structure.
3. Decomposition of statistical row into constituent components of speech traffic, according to the structure obtained during the analysis.
4. Formation of time distribution laws for each component contained in the structure of voice traffic.
5. Drawing up the algorithm of interaction (mutual influence) of the received components of speech traffic. Synthesis of the simulation model of the equivalent voice traffic generator into account its structure and parameters of the considered components.
6. Verification of the result by direct comparison of the time row obtained experimentally with the time row resulting from the simulation model.
The obtained results form the basis for the formation of a simulation model of an equivalent voice traffic generator, which repeats the most significant characteristics of the object under study. The model consists of three independent random number generators with different distribution parameters and a unique way of their interaction, allowing achieving the necessary accuracy in the analysis of the paket flow in network and their characteristics.
Keywords:transport communication networks, simulation modeling, time-frequency characteristics of traffic, delay time variation, traffic sniffer, VoIP traffic.
References
1. ITU-T Recommendation Y.1541 (12/2011) Network performance objectives for IP-based services.
2. Aliev T.I., Nikulsky I.E., Pyatayev V.O. (2009). Modeling and analysis of the aggregation level of a multiservice telecommunications network. Communication Engineering. Vol. 2, pp. 12-18.
3. Mikhailov S.K., Sergeeva T.P. (2013). Calculation of delay variation (IPDV) for a telephone connection. T-Comm. No. 7, pp. 87-89.
4. Getman A.I., Evstropov E.F., Markin Yu.V. (2015). Real-time network traffic analysis: a review of applied tasks, approaches and solutions. Preprint ISP RAS 28, pp. 1-52.
5. Vadzinsky R.N. (2001). Handbook of Probabilistic Distributions. St. Petersburg: Nauka, pp. 295.
6. Boev V.D. (2011). A study of the adequacy of GPSS World and AnyLogic in modeling discrete-event processes. Monograph.
St. Petersburg: VAS, p. 404.
Information about authors:
Andrey K. Kanaev, St. Petersburg state transport university of the emperor Alexander I, Head of the department «Electrical Communication», St. Petersburg, Russia
Mikhail M. Lukichev, St. Petersburg state transport university of the emperor Alexander I, Postgraduate of the department «Electrical Communication», St. Petersburg, Russia
Alexander A. Privalov, Federal State Budgetary Educational Institution of Higher Education «Russian University of Transport (MIIT)», Ph.D., Associate Professor, Department «Management and Information Protection», Moscow, Russia