Performance versus load analysis

A performance versus load analysis (PLA) helps in finding potential correlations between business drivers and performance data. It shows the system's behavioral performance under load, and is based on an associated business driver map.

The following video (4:02) illustrates the process of adding a performance vs load correlation analysis using the analysis wizard.

https://youtu.be/MhxHsr0bWnU?list=PLibAMtD70sYEneM-OP7FtO7PrMH-Ce0PL

The following figure shows an example of a performance versus load plot in which the utilization varies over number of requests. In this plot, service demand is depicted with dashed lines.

Performance versus load analysis: utilization versus requests

The main objectives of a performance versus load analysis are:

  • Create a meaningful (business- or function-oriented) association among business drivers and system resources. This can be done by:
    • Creating an initial map relating all business drivers with all resources.
    • Using the time frame defined in Load versus time analysis and Performance versus time analysis to analyze the business driver map.
    • Removing poor correlation or low confidence results.
    • Consolidating the map analysis results.
  • Verify the linear capacity model through graphical evaluation of the service demand. This can be done by evaluating:
    • Residual utilization, which implies reviewing business driver choice.
    • Points that are relational outliers or distant, and clustering from the linear model, which implies reviewing the analysis time frame or business driver choice.
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