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.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |