Think of your last trip to disney or your favorite amusement park. Lets define
capacity of the ride to be the number of people that can sit on the ride per
turn (think roller coaster). Throughput will be the number of people that exit
the ride per unit of time. Lets define service time the the a
Hi All,
What will the impact of in performance testing with increasing the number of
iterations per hour versus increasing the number of vusers
-
rajivkumarnandvani
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Hi Deepak,
Right, I think I see where I got confused.
You are talking about the situation where the system is running at full
capacity - maximum throughput. So, yes, in this situation then it is logical
that it is not possible to increase the load any further without suffering
longer response t
Hey
You will have to improve the system to get the same performance time (Even
Google for that matter). If the system remains the same, and if you increase
the number of request even by one, the response time will increase. You will
have to increase the hardware or tune the system to get the same
Do I really want to argue this? Where to start? Sigh, look Deepak, to be fair
to you, I think you might have misunderstood something, sometimes the
terminology for this sort of thing can be different from one person to the
next so perhaps throughput means something else to you - this happens a lot
Hey
(Line 6)
The response time will never stay at 300 ms if you double your
throughput from 10 to 20. It will be always more than 300 ms (For the
same system).
Infact if you just increase from 10 to 11, you will see an increase in
response time.
Try it on any system :)
Have fun
Deepak
"Throughput is inversely proportional to Response Time." Er, that's not true.
It is worrying how often people fail to grasp this basic concept. It's
really not rocket science guys.
I'm feeling generous so let's break it down. 'Throughput' is actually formed
of two words, 'through' and 'put', as i
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