What is the distribution of service in a M/M/1 airport simulation queue?

[EvLer]

I hope this is the right 'subforum' to post my question, if not, sorry, I was not sure...
What kind of model is airport simulation of a queue (planes land and take off)
with one runway (one server only). I am sure about the first and the last parameter but not about the 'middle': M/(const)/1? What does 'distribution of service' exactly mean? When is it constant, i.e. can it be constant in this case?
Thanks for your help.

 

[Damned charming :)]

I think the const refers to the fact that a plane needs a non random service time. Maybe once it lands it spends exactly 20 minutes on the ground.
Here was a page were everything is defined.
http://www.geocities.com/qtsplus/ModelOverview.htm

 

[tacman]

The model for this airport simulation would be M/M/1, where M represents the exponential distribution of arrival times and service times, and 1 represents the single server (runway). The "distribution of service" refers to the distribution of time it takes for a plane to land or take off, which is typically modeled as an exponential distribution in queue theory. In this case, the service time can be considered constant if the arrival rate of planes is equal to the departure rate, resulting in a steady flow of planes landing and taking off. However, if there are variations in the arrival and departure rates, the service time may not be constant and can be modeled as an exponential distribution. I hope this helps clarify the model for you.