Skupos

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Using Queueing Theory simulations to model capacity planning allows for a deeper understanding of system performance and client experience when compared to a strictly rate based approach. This article details why queueing theory is essential for modeling capacity and provides 2 hands on examples of using queueing theory to model capacity. The first example will perform capacity planning for a software service. The second example models an organization process as queueing system in order to show how capacity can be forecast for people based systems as well as software based systems! Many of the articles that I’ve read covering queueing theory is math heavy. This article requires nothing more than basic algebra and a queueing theory calculator. There are many <a href="https://www.supositorio.com/rcalc/rcalclite.htm" title="https://www.supositorio.com/rcalc/rcalclite.htm" target="_blank">free calculators available</a>; while the math is still there under the hood it’s not necessary to understand it in order to model capacity forecasting using queueing theory.

Why Capacity Planning Needs Queueing Theory (without the hard math)

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