Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Crossroads between Stability and Randomness of the Non-stationaryQueue’s Pointwise Stationary Fluid Flow Approximation modelCrossroads between Stability and Randomness of the Non-stationary Queue’s Pointwise Stationary Fluid Flow Approximation

Version 1 : Received: 8 May 2024 / Approved: 9 May 2024 / Online: 9 May 2024 (10:44:29 CEST)

How to cite: A Mageed, I.; Becheroul, A. Crossroads between Stability and Randomness of the Non-stationaryQueue’s Pointwise Stationary Fluid Flow Approximation modelCrossroads between Stability and Randomness of the Non-stationary Queue’s Pointwise Stationary Fluid Flow Approximation. Preprints 2024, 2024050544. https://doi.org/10.20944/preprints202405.0544.v1 A Mageed, I.; Becheroul, A. Crossroads between Stability and Randomness of the Non-stationaryQueue’s Pointwise Stationary Fluid Flow Approximation modelCrossroads between Stability and Randomness of the Non-stationary Queue’s Pointwise Stationary Fluid Flow Approximation. Preprints 2024, 2024050544. https://doi.org/10.20944/preprints202405.0544.v1

Abstract

The current work reveals the fine tuning between stability zones and randomness of Pointwise Stationary Fluid Flow Approximation (PSFFA) model of the non-stationary queueing D/M/1 system. More specifically, this clearly provides more insights into developing a contemporary PSFFA theory that unifies non-stationary queueing theory with chaos theory and fields in both theoretical physics and chaotic systems. This opens new grounds for stability analysis of non-stationary queueing systems.

Keywords

State variable; mean arrival rate; time; time dependent root parameter; PSFFA,

Subject

Computer Science and Mathematics, Applied Mathematics

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