Modelling the On-line Traffic Estimator in OPNET

Abstract

Allocation techniques are needed to provide data services as efficiently as possible since resources are limited. To cope with this demand, the networks need dynamic and measurement-based resource allocation algorithms. For network links shared through statistical multiplexing, adaptive bandwidth allocation algorithms based on traffic measurements can achieve important gains. In this context, it is very important to choose measurement methods that satisfy stringent constraints in terms of both accuracy and complexity. The measurement time scales have critical effect of on the performance. We proposed an approach overcoming this dependency by adjusting the measurement time scale dynamically in accordance to traffic parameter. The paper covers issue with measured traffic store model with the following parameters estimation. Ill. 11, bibl. 5 (in English; summaries in English, Russian and Lithuanian).