I correct some typos , please read again...
Hello,
I have come to an interresting subject, if we have a distributed
database and a webserver and HTML files and you want to do a capacity
planning of your webserver this will complicate the things, cause the
database server must be modelized as an hyperexponential distribution
that is an M/G/1 queuing system , but as you have noticed since the
database server system , in our network , comes before the internet
connection that will be modeled as an M/M/1 queuing system, so you have
to use a queuing network simulation to solve this problem , but if you
have noticed, in capacity planning we have also to calculate the
response time of the worst case performance, so this will easy the job
for us cause in the worst case scenario since the M/G/1 queuing system
of the database server have three exponential distributions for the
reads and writes and deletes transactions, so we have to choose the
worst service time that is exponentially distributed , so i think we
have to choose only the exponential distribution of the writes
transactions, so this will make the queuing system of the database
server a markovian M/M/1 queuing system, so this will transform our
queuing network into a Jackson network so this will easy for us to
calculate the response time of our web server, but since the bottelneck
of the network is the internet connection so this will easy for us much
more the capacity planning .. hence if you want to do a capacity
planning of your webserver you have to concentrate on the very important
part that is the M/M/1 internet connection and do your calculation.
I have done a M/M/1 and M/M/c queuing network simulation in Object