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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2020 Issue 12, Pages 129–152 (Mi at15442)

This article is cited in 10 papers

Stochastic Systems

Methods for estimating the required volume of resource for multiservice access nodes

S. N. Stepanov, M. S. Stepanov

Moscow Technical University of Communication and Informatics, Moscow, Russia

Abstract: We construct and study a mathematical model for the distribution of information transmission resource in a multiservice access node. The model considers an arbitrary number of multimedia traffic streams, which differ in the intensity of claims arrival, the amount of resource used to service one claim, and the resource occupation time. The time intervals between the arrival of claims have an exponential distribution with a parameter depending on the number of claims being serviced in the considered flow. We construct a recursive algorithm for evaluating the characteristics. Relations are established between the integral and flow characteristics of the quality of service for the claims. We construct an efficient algorithm for estimating the amount of resource required to service given traffic flows with required quality. The efficiency of the computational procedure is achieved as a result of organizing recursion over the volume of resource and the use of normalized values of state probabilities. We consider a solution to the problem of estimating the required amount of resource for a multiservice node model, which allows to use resource reservation and dynamic distribution mechanisms when servicing elastic traffic. We show numerical examples that illustrate the features of the implementation of the constructed computational procedures.

Keywords: multiservice access node, Markov models, system of equilibrium equations, recursive algorithms, reservation, elastic traffic.

Presented by the member of Editorial Board: A. I. Lyakhov

Received: 17.03.2020
Revised: 15.05.2020
Accepted: 09.07.2020

DOI: 10.31857/S0005231020120089


 English version:
Automation and Remote Control, 2020, 81:12, 2244–2261

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© Steklov Math. Inst. of RAS, 2026