Compute utilization, response time, average number of requests and throughput for a M/H_m/1 system. In this system, the customer service times have hyper-exponential distribution:
___ m \ B(x) = > alpha(j) * (1-exp(-mu(j)*x)) x>0 /__ j=1
where \alpha_j is the probability that the request is served at phase j, in which case the average service rate is \mu_j. After completing service at phase j, for some j, the request exits the system.
INPUTS
lambda
Arrival rate
mu
mu(j)
is the phase j service rate. The total
number of phases m is length(mu)
.
alpha
alpha(j)
is the probability that a request
is served at phase j. alpha must have the same size
as mu.
OUTPUTS
U
Service center utilization
R
Service center response time
Q
Average number of requests in the system
X
Service center throughput
Package: queueing