Hi Folks,
I am trying to verify that I am looking at my "problem" from the correct
perspective. I have a single thread group and a http sampler that
requests the same file repeatedly for some user-defined duration (say
300 seconds). The sampler has a Gaussian Random Timer as a child with
offset and std dev set manually (e.g., 500ms offset and 50ms deviation),
in order to rule out any weirdness using variables. When I run the test
with one thread, I obtain my desired behavior: the delay between
requests is normally distributed with mean and std dev very close to the
timer settings. However when I use 2 or more threads, I get delay
distributions that are not fitting any particular distribution and are
certainly not normal. As I go higher with the number of threads (and
correspondingly increase the offset and std dev, just to make sure the
center mass is sufficiently distant from zero), the distribution starts
to look exponential. Am I missing something? If it is true that the
sum of two or more normal distributions is itself a normal distribution,
then I don't understand why using multiple threads in this fashion
results in this behavior.
Any help is greatly appreciated.
Regards,
Marc
PS I reproduced the generation of normally distributed delay times
using a Beanshell timer, but obtain similar results.
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