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I believe that peak load follows general Pareto principle, at least basing on my experience during "peak" periods application served 80% of requests during 1-2 hours time frame and remaining 20% of requests were more or less equally distributed between remaining 20 hours in a day. So: if you need some explained formulae take a look at Establishing ...


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The only way you can do this is if you make an educated guess about the distribution of your data. Otherwise you're asking the impossible: Given an aggregated measure of center (the average) return an outlier (the peak). If you want to guess that your data is a normal distribution, then you should be able to derive the top nth percentile and use that as ...


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This is an indirect answer to your question, because I think you may be asking the wrong question. I am not sure that either of the things you are asking for - a statistical way to determine peak load in 1 second from average load in a day, and vice versa - are necessarily that important when it comes to performance and load testing. It is hard to ...



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