Evaluation of the Accuracy of the Analytical Model of a Queuing System with a Finite-Compression Mechanism in Relation to Real Service Disciplines

Abstract

The article presents the findings of a study that evaluates the feasibility of using an analytical model for a multi-service queuing system with a SDFIFO queuing service discipline and finite compression mechanism to approximate queuing systems with different queuing service disciplines (e.g., FIFO, cFIFO) while also incorporating finite compression. The evaluation involves comparing results obtained from an analytical model with those of simulation studies. The study considers the blocking probability and average queue length as factors. Additionally, two types of compressed traffic were analysed: elastic and adaptive. These are characteristic of modern telecommunications networks, particularly in multimedia applications. This paper is an extended version of our paper published in 4th CoBCom 2022.

Keywords

• queuing system
• elastic traffic
• adaptive traffic
• analytical modelling
• queuing disciplines