Revolutionary Analysis of Pointwise Stationary Fluid ‎Flow Approximation in Non-Stationary M/D/1 Queue ‎with IoT Applications

Authors

  • Ismail A Mageed 1School of Computer Science, AI, and Electronics, University of Bradford, United Kingdom

Keywords:

Time varying M/D/1 queue, Pointwise], Fluid flow approximation, Internet of Things

Abstract

For a long-standing solution via simulation, this study presents the first-ever analytic modelling for the Pointwise Stationary Fluid Flow Approximation (PSFFA) model of the non-stationary  queueing system. This is accomplished by putting out the constant ratio β (Ismail’s ratio), which provides a precise analytical answer and links the time-dependent mean arrival and mean service rates. We then do a numerical analysis of the stability dynamics of the time-varying  queueing system with respect to time β and the queueing parameters. Applications of Pointwise Fluid Flow Approximation (PSFFA) to the Internet of Things are given. A summary and recommendations for further research round out the paper.

References

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Mageed, D. I. A. (2024). Ismail’s ratio conquers new horizons the non-stationary m/g/1 queue’s state variable closed form expression. Preprints, 1–9. https://doi.org/10.20944/preprints202402.0548.v1

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Published

2024-11-09

How to Cite

Revolutionary Analysis of Pointwise Stationary Fluid ‎Flow Approximation in Non-Stationary M/D/1 Queue ‎with IoT Applications. (2024). Mechanical Technology and Engineering Insights, 1(1), 71-80. https://mtei.reapress.com/journal/article/view/29