Before you perform this task, specify the time-series data (TSD) file that is to be used as the data source for the graph.
Performance Explorer’s automatic result-correlation feature facilitates root-cause analysis of network and server bottlenecks by correlating client-side issues with corresponding server-side measurements. Automatic result correlation identifies the server-side measurements that are most closely associated with specific client-side errors, thereby enabling you to better identify server-side problems and expedite debugging efforts. Result correlation also works in the reverse: Server-side issues can be correlated with client-side measures.
Automatic result correlation statistically correlates key measures with dependent measures. For example, if a significant increase in server response time is detected by a client-side measure at 18:20 (6:20 p.m.), automatic result correlation can identify the server-side measures that contributed to this drop in client-side performance.
By default, returned measures are listed in order of degree of correlation, and all correlations are selected.