Mauricio,

With out data you can only make a guess.  We are a world wide organization 
using one AR System server.  We have found that there are many factors that 
influence license utilization.  Most of our users are US based but there is 
also a large number of others outside the US.

Here are factors that we found influence out peak utilization:
Time of day - we see peaks utilization between 9:00 AM and 11:00 AM Eastern
Holidays - peaks are lower during a holiday as expected.  However peaks can be 
higher before and after a holiday.  Additional consideration is EMEA holidays 
which are different than US bank holidays
Maintenance weekend - often see higher usage peaks after a maintenance weekend.
First of the month - Higher usage peaks at the beginning of the month.  Due to 
change freezes at the end of the month to avoid month end.
Day of the week - Higher usage peaks at the beginning of the week than at the 
end of the week.

Dave

________________________________
From: Action Request System discussion list(ARSList) 
[mailto:[email protected]] On Behalf Of Mauricio M.
Sent: Thursday, June 28, 2012 3:46 PM
To: [email protected]
Subject: Re: Floating License Estimation - rule of thumb or formula

** Hi Jose,

So in order to simplify a model, don´t you think you can compare this 
distribution to the behaviour of ocassional users logging in and updating 
records? because RRRLicense measures over a period of time and I do not have 
historical data and no window frame to measure from this present time into the 
future

Thank you!!!

Mauricio

2012/6/28 Jose Huerta 
<[email protected]<mailto:[email protected]>>
** Erlang formulas assume Poisson distribution. Your team won't be distributed 
in any computable wat. So I recommend you to study the use. Maybe you can try 
the RRR|License tool.

Jose M. Huerta
Project Manager

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On Thu, Jun 28, 2012 at 9:23 PM, Mauricio M. 
<[email protected]<mailto:[email protected]>> wrote:
** Hello All,


I know this is and old age question but it continues to be relevant on how you 
estimate the appropiate number of floating licenses that will be needed in the 
near future for a given application, but not taking into account any past 
behaviour, I mean, suppose that we do not have historical data to reference, 
but only an expected behaviour in regards to a total number of users, total 
number of tickets, etc. As a rule of thumb we might use a given proportion, 3:1 
or 5:1 but how you normally manage to hold up a more solid number? I was 
wondering if anyone has used Erlang formulas to get a more solid number?

Thank you and Regards,

-Mauricio
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