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Step 3 - Identify the Workload
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The load you apply to a particular scenario should stress the system sufficiently beyond threshold limits to enable you to observe the consequences of the stress condition. One method to determine the load at which an application begins to exhibit signs of stress is to incrementally increase the load and observe the application behavior under various load conditions. The key is to systematically test with various workloads until you create a significant failure. These variations may be accomplished by adding more users, reducing delay times, adding or reducing the number and type of user activities represented, or adjusting test data. For example, a stress test could be designed to simulate every registered user of the application attempting to log on during one 30-second period. This would simulate a situation where the application suddenly became available again after a period of downtime and all users were anxiously refreshing their browsers, waiting for the application to come back online. Although this situation does not occur frequently in the
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real world, it does happen often enough for there to be real value in learning how the application will respond if it does. Remember to represent the workload with accurate and realistic test data type and volume, different user logins, product IDs, product categories, and so on allowing you to simulate important failures such as deadlocks or resource consumption. The following activities are generally useful in identifying appropriate workloads for stress testing: Identify the distribution of work. For each key scenario, identify the distribution of work to be simulated. The distribution is based on the number and type of users executing the scenario during the stress test. Estimate peak user loads. Identify the maximum expected number of users during peak load conditions for the application. Using the work distribution you identified for each scenario, calculate the percentage of user load per key scenario. Identify the anti-profile. As an alternative, you can start by applying an anti-profile to the normal workload. In an anti-profile, the workload distributions are inverted for the scenario under consideration. For example, if the normal load for the orderprocessing scenario is 10 percent of the total workload, the anti-profile would be 90 percent of the total workload. The remaining load can be distributed among the other scenarios. Using an anti-profile can serve as a valuable starting point for your stress tests because it ensures that the critical scenarios are subjected to loads beyond the normal load conditions.
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Step 4 - Identify Metrics
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When identified and captured correctly, metrics provide information about how well or poorly your application is performing as compared to your performance objectives. In addition, metrics can help you identify problem areas and bottlenecks within your application. Using the desired performance characteristics identified during the Identify objectives step, identify metrics to be captured that focus on potential pitfalls for each scenario. The metrics can be related to both performance and throughput goals as well as providing information about potential problems; for example, custom performance counters that have been embedded in the application. When identifying metrics, you will use either direct objectives or indicators that are directly or indirectly related to those objectives. The following table describes performance metrics in terms of related performance objectives. Performance metrics Base set of metrics Processor Process Category Processor utilization Memory consumption
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Processor utilization Process recycles Memory available Memory utilization Disk utilization Network utilization Transactions/sec Transactions succeeded Transactions failed Orders succeeded Orders failed Contentions per second Deadlocks Thread allocation Transactions times
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Disk Network Transactions/business metrics
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Step 5 - Create Test Cases
Identifying workload profiles and key scenarios generally does not provide all of the information necessary to implement and execute test cases. Additional inputs for completely designing a stress test include performance objectives, workload characteristics, test data, test environments, and identified metrics. Each test design should mention the expected results and/or the key data of interest to be collected, in such a way that each test case can be marked as a pass, fail, or inconclusive after execution. The following is an example of a test case based on the order-placement scenario.
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