Performance Top Objects Report Knowledge
適用於: Operations Manager 2007 R2
The Performance Top Objects report shows for selected objects and a specific performance counter rule the top or bottom N instances.
Description
This report shows a chart and a table. The chart shows columns for every found object starting at 0 to the maximum or minimum value for the selected reporting time range. The chart also indicates with a black error bar the fluctuation in value of this object for the selected reporting time range. If the error bar is very small, this object was always close to value displayed by the column during the reporting time range. If it is very wide, the object fluctuated and the top or bottom value should be not taken as the value to be expected.
Parameters
| Parameter | Description |
|---|---|
Date/Time Selection |
Defines the time period for the report with relative or fixed dates. |
Algorithm |
Specifies which algorithm, Top or Bottom, to use. |
N |
Specifies the value to use in conjunction with the algorithm. For example, to report on the top 5, specify 5 in the N parameter. |
Management Group |
Specifies one or multiple management groups to include in this report. |
Rule |
The rule to which the algorithm is applied. |
注意
Most performance counters are targeted at the Windows operating system, so when using the object picker, select an object of class Windows Operating System. If you select Windows Computer, performance information will only be shown if you use Add Group.
Sample Usage
You can run the following reports.
Find the most or least used objects. Often teams are charged with finding candidates for virtualization or consolidation. You can run this report against the rule that monitors performance items, monitoring the items to research and to specify a Top N or Bottom N value (for example, the top 10).
Find systems in need of hardware upgrades. You can create a report that identifies any enterprise objects that are experiencing bottlenecks by running this report5 against a performance rule for the typical bottlenecks (disk, memory, CPU, or network).