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Considering the Application Operating Environment
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It is important to evaluate the environment in which your application will be operating, as this may impose constraints on your application that must be reflected in the performance goals you set. Network-located services may impose performance constraints on your application. For example, you may be required to interact with a Web service over which you have no control. In such cases, it is important to determine the performance of the service and to determine whether this will have an effect on the performance of your client application.
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8: Smart Client Application Performance
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You should also determine how the performance of any dependent services and components may vary with time. Some systems experience fairly constant usage while other experience wildly fluctuating usage at certain times of the day or week. These differences could adversely affect the performance of your application at critical times. For example, a service that provides application deployment and update services may be slow to respond on Monday morning at 9:00 AM as all users upgrade to the latest version of an application. It is also important to accurately model the performance of all dependent systems and components, so that your application can be tested in an environment that closely mimics the real environment in which it will be deployed. For each system, you should determine the performance profile and the minimum, average, and peak performance characteristics. You can then use this data as appropriate when defining the performance requirements for your application. You should also carefully consider the hardware on which your application will run. You will need to determine the target hardware configuration, in terms of processor, memory, graphics capability, and so on or at least a minimum configuration below which you cannot guarantee performance. Often the business environment in which your application will operate will dictate some of the more exacting performance requirements. For example, an application that executes real-time stock trading will be required to execute these trades and display all of the relevant data in a timely manner.
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Performance Tuning Process
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Performance tuning your application is an iterative process. This process consists of a number of stages that are repeated until the application meets its performance goals. (See Figure 8.2.)
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Establish Baseline
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Collect Data
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Test and Measure
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Analyze Results
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Tune Application
Performance tuning process
Smart Client Architecture and Design Guide
As Figure 8.2 illustrates, performance tuning requires that you complete the following processes: Establish Baseline. Before you begin tuning your application for performance, you must have a well-defined baseline for the performance goals, objectives, and metrics. This could include specifics such as application working set size, time to load data (for example, a catalogue), transaction duration, and so on. Collect Data. You will need to gauge your application s performance by measuring it against the performance goals that you have defined. Performance goals should embody specific and measurable metrics that allow you to quantify your application s performance at any point in time. To allow you to collect performance data, you may have to instrument your application so that the required performance data can be published and collected. Some of the options that you have to accomplish this are discussed in detail in the next section. Analyze Results. After you have collected your application s performance data, you will be able to prioritize your performance tuning effort by determining which application features require the most attention. In addition, you can use this data to determine where any performance bottlenecks are. Often, you will only be able to determine the exact location of the bottleneck by gathering more detailed performance data: for example, by using application instrumentation. Performance profiling tools may help you to identify the bottleneck. Tune Application. After you have identified a bottleneck, you will probably need to modify the application or its configuration to try and solve the problem. You should aim to minimize changes so that you can determine the effect of the changes on the application s performance. If you make more than one change at the same time, it can be difficult to determine what effect each change had on the application s overall performance. Test and Measure. After you have changed your application or its configuration, you should test it again to determine what effect your changes have and to allow new performance data to be gathered. Performance work often requires architectural or other high-impact changes so thorough testing is critical. Your application s test plan should exercise the full range of functionality that your application implements, for all anticipated scenarios and on client machines configured with the appropriate hardware and software. If your application uses network resources, you should load these resources so that you can gain accurate measurements for how your application performs in such an environment. The above process will allow you to focus on specific performance problems by measuring your applications overall performance against specific goals.
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