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Also, the performance advisors page can provide advice on tuning a production system under a real or simulated load.

Workload distribution can affect performance when some resources are underutilized and others are overloaded.

In general, the goal of performance tuning is to increase throughput, reduce response times, and increase the capacity for concurrent requests, all balanced against costs. However, the response time increases proportionally to the user load.

That is, if the user load is doubled in the heavy load zone, the response time doubles.

Guide yourself primarily with tools and methodologies. For example, with a typical Web Sphere Application Server application, start with the operating system, then Java, then WAS, then the application, etc.

Note: Before using this information, read the Notices section for information on terms of use, statement of support, trademarks, etc. Government Users Restricted Rights: Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corporation.

"Increased performance can often involve sacrificing a certain level of feature or function in the application or the application server.

The tradeoff between performance and feature must be weighed carefully when evaluating performance tuning changes." ( A typical performance exercise can yield a throughput improvement of about 200% relative to default tuning parameters (

Caching can greatly reduce the use of system resources by returning a previously cached response, thereby avoiding the work needed to construct the original response.

Caching is supported at several points in the following systems: Application code profiling can lead to a reduction in the CPU demand by pointing out hot spots you can optimize.

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    Each have its own set of requirements plus additional set for those special cases that fall under any of the 3 major categories.