A maximum entropy analysis for mx g 1 queueing system at equilibrium

Abstract EN

The maximum entropy principle (MEP) which is frequently used in information theory can be applied to construct most uncertain probability distribution subject to some constraints expressed by mean values.

In this investigation, we have suggested probability distribution of possible states for MXICII queueing system in a maximum entropy condition subject to the expected number of customers.

The expression for probability distribution involves mean arrival rate, first two moments of group size and service time distributions.

We have established connections with classical queueing theory and operational analysis.