Do we need simulation optimisation for queueing allocation problems?

As computational resources get cheaper and more convenient, largely through cloud technologies, the general trend is to solve larger simulation optimisation problems with more complex/realistic simulation models, sometimes in an exhaustive manner. This is despite the need for the computing sector and thus the simulation sector to reduce its carbon emissions. This paper advocates for using simpler models to aid the optimisation, particularly in queueing network problems, where many analytical models have been developed and system behaviours can make simulation optimisation more difficult. We focus on Jackson Networks for multi-fidelity optimisation of a server allocation problem, and set up a series of experiments to examine how well these models can aid simulation optimisation.

Publication Details

Journal
Lancaster EPrints (Lancaster University)
Published
2025-04-03
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Do we need simulation optimisation for queueing allocation problems?

Lancaster EPrints (Lancaster University)
Simulation Techniques and Applications
article

Do we need simulation optimisation for queueing allocation problems?

article en

Abstract

As computational resources get cheaper and more convenient, largely through cloud technologies, the general trend is to solve larger simulation optimisation problems with more complex/realistic simulation models, sometimes in an exhaustive manner. This is despite the need for the computing sector and thus the simulation sector to reduce its carbon emissions. This paper advocates for using simpler models to aid the optimisation, particularly in queueing network problems, where many analytical models have been developed and system behaviours can make simulation optimisation more difficult. We focus on Jackson Networks for multi-fidelity optimisation of a server allocation problem, and set up a series of experiments to examine how well these models can aid simulation optimisation.

Lancaster EPrints (Lancaster University)
Openalex Percentile: Top 41%
Simulation Techniques and Applications
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Do we need simulation optimisation for queueing allocation problems? · Lancaster EPrints (Lancaster University) (2025) | TGRS Research Map | TGRS