Solving the steady-state number of customers in a queue

To get started, select one of these examples, then press the "Submit" button:

1) Type in the parameters of the queue
	C	Number of servers
	N	Maximum number in system (buffer + servers)

2) Select the service time
	t_s	Mean service time

3) Select the inter-arrival time
by: its mean and coefficient of variation or a specific Coxian distribution
	k t_a	Mean inter-arrival time Number of phases (max=10)
	cv_a	Coefficient of variation

Cox2 distribution

Arrivals follow a Coxian distribution with 2 stages with λ₁ = , λ₂ = and r_b1 = .

change

Arrivals follow a simple Poisson process with rate λ₁ =

Erlang distribution queue

Arrivals follow an Erlang or hypoexponential distribution with n = stages at rate λ₁ = and λ₂ = .

Coxian distribution

Arrivals follow a generalized Coxian distribution

τ_i

λ_i

r_bi

Phase 1:

Phase 2:

Phase 3:

Phase 4:

Phase 5:

Phase 6:

Phase 7:

Phase 8:

Phase 9:

Phase 10:

1) Type in the parameters of the queue