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
lambdaArrival rate
mumu(j) is the phase j service rate. The total
number of phases m is length(mu).
alphaalpha(j) is the probability that a request
is served at phase j. alpha must have the same size
as mu.
OUTPUTS
UService center utilization
RService center response time
QAverage number of requests in the system
XService center throughput
Package: queueing