12/22/2023 0 Comments Neoload decode gwt .js requests![]() The last option for a Load Variation Policy is “customized” which is used for precise numbers of virtual users plotted at points over time. It will then increase or decrease the whole number values in order to create the distribution. Since we can’t have a fraction of a virtual user, Neoload rounded to get to a whole number. This time we see 2,4,6 and 13 for each LG respectively. ![]() After the first increase to 200 VUs, we decrease back to the 25 VU minimum. At the start of the test, the distribution for the minimum VUs (25) for each LG was 3,5,7 and 10 respectively. In this case, what Neoload will do is round up or down to get to a whole number value. Here are the calculations for 25 users across the 4 LGs: The percentages allocated to each load generator are the same as in the example above but the total number of VUs for the low point is an odd number 25. Let’s take a closer look at the calculation for the minimum load. The total VUs are 25 as configured but this time we see a slightly different distribution: The test progresses for another 2 minutes and we see the drop to minimum load. When the test begins, each load generator gets assigned VUs according to their load factors, all totalling to 25.Īs the test progresses, the Peak of 200 VUs is divided across all 4 load generators as: San Antonio with a load factor of 3 is assigned 12 VUs to start and then incremented by 6 every two minutes for a total of 60 VUs.įinally, Ashburn with a load factor of 4 is assigned 16 VUs at the start incrementing by 8 every 2 minutes for a total of 80 VUs.įor the Peak LVP we start with 25 VUs and increase to 200 VUs every 2 minutes. The Des Moines LG with a load factor of 2 started with 8 VUs and Neoload added 4 VUs every two minutes up to 40 VUs. The localhost Load Generator with a load factor of 1 was assigned 4 VUs to start and increased by 2 VUs every 2 minutes up to 20 VUs The actual time it takes to reach the max number of users greatly depends on the server itself. (Note: the “Maximum is” is an estimate made by Neoload before the run. This time we’ll use “Ramp-Up” and run for 18 minutes so we can reach exactly 200 VUs. Now let’s take a look at the same run with a change in LVP. As expected, Neoload distributed according to the calculation. A Duration Policy of 15 minutes and a Constant Load Variation policy with 200 virtual users.Īccording to the formula, “LoadFactor / (SumOfLoadFactors)” we get the following: Localhost - 1/10 = 10% = 20 VUsįrom the Neoload Web dashboard, we can see how Neoload disbursed the VUs across the four load generators adhering to the formula. We have one population with only one user pathįour Load Generators each with Load Factors of 1,2,3 and 4. So let’s take a look at an actual run to see how the number of VUs per load generator is calculated when we use the default “Custom” load variation policy. Peak: Static number of VUs alternated with a second static value over the test durationĬustom: A precise user load variation curve plotted on a graph specifying VUs over time. Ramp-Up: Number of VUs is increased periodically during the run Each LVP sets the following behavior Ĭonstant: Static number of VUs throughout the test duration. Virtual user distribution across load generators are calculated with load factors but the distribution could change during test execution depending on the load variation policy. The LVPs in Neoload are 1-“Constant” 2- “Ramp-Up”, 3-“Peak” and 4-”Customized”. Neoload provides a “Load Variation Policy” which defines if/how/when VUs are increased/decreased during test execution. The example above is for a constant load of 1000 VUs for the entire duration of the test. The virtual user count for each LG would then be 100,200,300 and 400 as opposed to 250 each. Applying load factors of 1,2,3 and 4 to each LG would provide a distribution of 10%,20%,30% and 40% respectively. Example 4 load generators used for a performance test with 1000 VUs, by default would have a distribution of 250 VUs each. The formula Neoload uses is simple “LoadFactor / (SumOfLoadFactors)”. Virtual users are proportioned across load generators in relation to each one’s load factor value. A load generator configured with the highest load factor will run the most available virtual users. A Load Factor is an integer value used by Neoload to calculate load distribution. By default, the total virtual load is divided evenly across each load generator. Neoload provides “Load Factors” as part of the configuration criteria for Load Generators. Here is how Neoload enables Load Balancing. The ability to not only access an application with virtual users but also to designate the access points from where they make requests, is crucial to performance testing precision. Running tests with virtual users is the way we can predict run time behavior of applications. Load Balancing is an integral part of performance testing.
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