Some views in CA Performance Center dashboards include "baseline" data as a basis for comparison. The baseline data that is plotted in many views shows statistical deviations from "normal" performance for a given statistic. Metrics are considered to be "normal" based on the calculated baseline average. The way the baseline is calculated varies by the registered data source. The Standard Deviation is used to gauge the statistical validity of the baseline values. Baseline values are included in charts to help you see places where performance values are changing rapidly.
Baseline data helps to characterize past performance for selected monitored parameters, and helps to assess present performance and estimate future performance. For example, comparing current CPU utilization to a known baseline average level helps to determine whether current utilization is within a typical range. A monitored parameter that exceeds a baseline can indicate additional load on the server from a new application process, an increase in the number of users or sessions, or an increase in the amount of data being processed.
Data sources deploy different methods for calculating and displaying baseline data in CA Performance Center views. Consult the online Help or User Guide for the data source to understand the baseline data.
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