M/M/1 vs G/G/1 vs G/M/1

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I am using queuing theory to model a router. I have a model that assumes Poisson traffic and I need to modify it as my actual traffic is not Poisson

I want to ask what's the main difference between Poisson arrivals and general arrivals in terms of results ?

ie what are the formulas that don't hold if we don't have Poisson assumption ?

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For general inter-arrival times instead of Possion, the formulas are expressed in terms of a general cumulative distribution function $F(x)$ so to use them you need to have a distribution in mind.

Look at Introduction to Probability Models Eleventh Edition by Sheldon M. Ross for reference.