Work

Probabilistic analysis of an M/G/1 queue

Year: 2024

Type: article

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).

Source: OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA

DOI: 10.55905/oelv22n10-087

Authors: Hitalo Joseferson Batista Nascimento, Maria Edineuda Teixeira Pinto Nascimento, Douglas Jhardesonn Batista Nascimento, Handrezza Blenda Batista Nascimento Cozzolino

Language: English

Topic: Advanced Queuing Theory Analysis

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W4403299977

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