Compute utilization, response time, average number of requests and throughput for a M/M/1/K finite capacity system.
In a M/M/1/K queue there is a single server and a queue with finite capacity: the maximum number of requests in the system (including the request being served) is K, and the maximum queue length is therefore K-1.
INPUTS
lambda
Arrival rate (lambda>0
).
mu
Service rate (mu>0
).
K
Maximum number of requests allowed in the system (K ≥ 1
).
n
Number of requests in the (0 ≤ n ≤ K
).
OUTPUTS
U
Service center utilization, which is defined as U = 1-p0
R
Service center response time
Q
Average number of requests in the system
X
Service center throughput
p0
Steady-state probability that there are no requests in the system
pK
Steady-state probability that there are K requests in the system (i.e., that the system is full)
pn
Steady-state probability that there are n requests in the system (including the one being served).
If this function is called with less than four arguments, lambda, mu and K can be vectors of the same size. In this case, the results will be vectors as well.
See also: qsmm1,qsmminf,qsmmm.
The following code
## Given a M/M/1/K queue, compute the steady-state probability pk ## of having n requests in the systen. lambda = 0.2; mu = 0.25; K = 10; n = 0:10; pn = qsmm1k(lambda, mu, K, n); plot(n, pn, "-o", "linewidth", 2); xlabel("N. of requests (n)"); ylabel("p_n"); title(sprintf("M/M/1/%d system, \\lambda = %g, \\mu = %g", K, lambda, mu));
Produces the following figure
Figure 1 |
---|
Package: queueing