Adaptive method and algorithm for the operational estimation of traffic parameters in high-speed corporate multiservice communication networks

DOI: 10.31673/2518-7678.2023.021414

Abstract

The article develops an adaptive method and an algorithm for operational evaluation of traffic characteristics and parameters in high-speed corporate multi-service communication networks, which implements it. This algorithm works in real time. High-speed corporate multi-service networks are characterized by high dynamics of changes in their state, including changes in the characteristics of transmitted traffic. Under these conditions, the automated network management system must ensure the required quality of services and communication services provided to users. The relevance of this study is determined by the need to implement network management processes in a mode close to real time, with a given quality in conditions of dynamic, unknown changes in network characteristics. The basis of the proposed method is the concept of conditional nonlinear Pareto-optimal filtering, which consists in the fact that the estimation of traffic parameters takes place in two stages: at the beginning, the forecast of parameter values is estimated, and then, with the receipt of subsequent parameter observations, their adjustment takes place. The proposed method and algorithm belong to the class of methods and algorithms with prior training. The average relative error of the estimation of traffic parameters does not exceed 7%, which is a sufficient value for the implementation of operational network management tasks.

Key words: Corporate multiservice network, new generation network, traffic, method, network, data transfer, random sequence.