Interarrival times refer to the duration of time between consecutive arrivals of entities in queuing systems or stochastic processes. They are crucial in modeling and analyzing the behavior of these systems, often being modeled as exponential distributions in scenarios assuming a Poisson process.

Interarrival Times

Interarrival times

duration of time

consecutive arrivals

entities in queuing systems

Stochastic processes are mathematical objects used to model systems that evolve over time with inherent randomness. They are essential in various fields such as finance, physics, and biology for predicting and understanding complex systems where outcomes are uncertain.

stochastic processes

Modeling and analyzing behavior

exponential distributions

A Poisson process is a stochastic process that models the occurrence of events happening independently and at a constant average rate over time or space. It is widely used in fields such as telecommunications, finance, and natural sciences to describe random events like phone call arrivals, stock trades, or radioactive decay.

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