Hi, I would say that there is no rule of thumb.
Even if you have historical data, you could come up with 5:1 or 1:5, all depending how your system is used. One days worth of data will give you some information, and one week will give you a very good estimate. You can even try the free version of RRR|License, and it will tell you the ratio that is optimum for you. You can even use the change planner in the test version, where you can put in a future number of expected users: http://rrr.se/tmp/rrrLicChangePlanner.html Best Regards - Misi, RRR AB, http://www.rrr.se (ARSList MVP 2011) Products from RRR Scandinavia (Best R.O.I. Award at WWRUG10/11): * RRR|License - Not enough Remedy licenses? Save money by optimizing. * RRR|Log - Performance issues or elusive bugs? Analyze your Remedy logs. Find these products, and many free tools and utilities, at http://rrr.se. > 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]> > >> ** 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** >> >> Movil: 661 665 088 >> >> Telf.: 971 75 03 24**** >> >> Fax: 971 75 07 94**** >> >> <http://www.sm2baleares.es/>**** >> >> SM2 Baleares S.A. >> C/Rita Levi **** >> >> Edificio SM2 Parc Bit**** >> >> 07121 Palma de Mallorca**** >> >> <http://es-es.facebook.com/pages/SM2-Baleares/158608627954> >> <http://twitter.com/#%21/SM2Baleares> >> <http://www.linkedin.com/company/sm2-baleares> >> >> La información contenida en este mensaje de correo electrónico es >> confidencial. La misma, es enviada con la intención de que únicamente >> sea >> leída por la persona(s) a la(s) que va dirigida. El acceso a este >> mensaje >> por otras personas no está autorizado, por lo que en tal caso, le >> rogamos >> que nos lo comunique por la misma vía, se abstenga de realizar copias >> del >> mensaje o remitirlo o entregarlo a otra persona y proceda a borrarlo de >> inmediato.**** >> >> P Por favor, no imprima este mensaje ni sus documentos adjuntos si no es >> necesario. >> >> >> >> On Thu, Jun 28, 2012 at 9:23 PM, Mauricio M. <[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 >>> _attend WWRUG12 www.wwrug.com ARSlist: "Where the Answers Are"_ >> >> >> _attend WWRUG12 www.wwrug.com ARSlist: "Where the Answers Are"_ > > _______________________________________________________________________________ > UNSUBSCRIBE or access ARSlist Archives at www.arslist.org > attend wwrug12 www.wwrug12.com ARSList: "Where the Answers Are" > _______________________________________________________________________________ UNSUBSCRIBE or access ARSlist Archives at www.arslist.org attend wwrug12 www.wwrug12.com ARSList: "Where the Answers Are"
