Load Tests are end to end performance tests under anticipated production load. The objective of such tests are to determine the response times for various time critical transactions and business processes and ensure that they are within documented expectations (or Service Level Agreements – SLAs). Load tests also measures the capability of an application to function correctly under load, by measuring transaction pass/fail/error rates. An important variation of the load test is the Network Sensitivity Test, which incorporates WAN segments into a load test as most applications are deployed beyond a single LAN.
What is the purpose of a Load Test?
The purpose of any load test should be clearly understood and documented. A load test usually fits into one of the following categories:
- Quantification of risk. – Determine, through formal testing, the likelihood that system performance will meet the formal stated performance expectations of stakeholders, such as response time requirements under given levels of load. This is a traditional Quality Assurance (QA) type test. Note that load testing does not mitigate risk directly, but through identification and quantification of risk, presents tuning opportunities and an impetus for remediation that will mitigate risk.
- Determination of minimum configuration. – Determine, through formal testing, the minimum configuration that will allow the system to meet the formal stated performance expectations of stakeholders – so that extraneous hardware, software and the associated cost of ownership can be minimized. This is a Business Technology Optimization (BTO) type test.
What functions or business processes should be tested?
The following table describes the criteria for determining the business functions or processes to be included in a test.
|Basis for inclusion in Load Test||Comment|
|High frequency transactions||The most frequently used transactions have the potential to impact the performance of all of the other transactions if they are not efficient.|
|Mission Critical transactions||The more important transactions that facilitate the core objectives of the system should be included, as failure under load of these transactions has, by definition, the greatest impact.|
|Read Transactions||At least one READ ONLY transaction should be included, so that performance of such transactions can be differentiated from other more complex transactions.|
|Update Transactions||At least one update transaction should be included so that performance of such transactions can be differentiated from other transactions.|
Example of Load Test Configuration for a web system
The following diagram shows how a thorough load test could be set up LoadRunner.
The LoadRunner controller is capable of displaying real-time graphs of response times as well as other measures such as CPU utilization on each of the components behind the firewall. Internal measures from products such as Oracle, WebSphere are also available for monitoring during test execution.
After completion of a test, the Analysis engine can generate a number of graphs and correlations to help locate any performance bottlenecks.
Simplified Load Test Configuration for a web system
In this simplified load test, the controller communicates directly to a load generator that can communicate directly to the load balancer. No WinRunner PC is utilized to measure actual user experience. The collection of statistics from various components is simplified as there is no firewall between the controller and the web components being measured.
Reporting on Response Time at various levels of load
Expected output from a load test often includes a series of response time measures at various levels of load, eg 500 users, 750 users and 1,000 users. It is important when determining the response time at any particular level of load, that the system has run in a stable manner for a significant amount of time before taking measurements.
For example, a ramp-up to 500 users may take ten minutes, but another ten minutes may be required to let the system activity stabilize. Taking measurements over the next ten minutes would then give a meaningful result. The next measurement can be taken after ramping up to the next level and waiting a further ten minutes for stabilization and ten minutes for the measurement period and so on for each level of load requiring detailed response time measures.