Probabilistic analysis of an M/G/1 queue

The well-known queuing model is (M/M/C) : (∞ / FIFO), is widely used in different applications, given its simplicity of implementation. Unfortunately, this model does not always provide good accuracy in terms of service time estimation. In this work, we provide an empirical analysis to identify the probability distribution that is most suitable for modeling the service time of a typical Central Processing Unit. Our experiments indicate that the service time in question is best characterized by an Erlang distribution denoted by Erl7 (0.12).

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Publication Details

Journal
OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA
Published
2024-10-09
DOI
https://doi.org/10.55905/oelv22n10-087
Primary Topic
Advanced Queuing Theory Analysis
Type
article
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article

Probabilistic analysis of an M/G/1 queue

Hitalo Joseferson Batista Nascimento, Douglas Jhardesonn Batista Nascimento, Handrezza Blenda Batista Nascimento Cozzolino, Maria Edineuda Teixeira Pinto Nascimento
OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA
Advanced Queuing Theory Analysis
article

Probabilistic analysis of an M/G/1 queue

Hitalo Joseferson Batista Nascimento, Douglas Jhardesonn Batista Nascimento, Handrezza Blenda Batista Nascimento Cozzolino, Maria Edineuda Teixeira Pinto Nascimento
article en

Abstract

The well-known queuing model is (M/M/C) : (∞ / FIFO), is widely used in different applications, given its simplicity of implementation. Unfortunately, this model does not always provide good accuracy in terms of service time estimation. In this work, we provide an empirical analysis to identify the probability distribution that is most suitable for modeling the service time of a typical Central Processing Unit. Our experiments indicate that the service time in question is best characterized by an Erlang distribution denoted by Erl7 (0.12).

OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANAVol. 22(10)
Openalex Percentile: Top 74%
Advanced Queuing Theory Analysis
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