Optimizations pages – HP ProLiant DL980 G7 Server User Manual
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User input fields in the Data Collection Settings section include the following:
•
START ON
⇒ Lets you select the date and time that data collection starts. NOW is the default
value and immediately starts data collection when you click Start. To specify a future date
and time for starting data collection, click the calendar icon ( ).
•
STOP ON
⇒ Lets you select the date and time when data collection stops. NON-STOP is the
default value and keeps data collection running until you stop it manually.
•
Data Sampling Rate
⇒ Lets you specify how often data is sampled by data collection. The
default value is 10 seconds.
NOTE:
The lower the sampling rate value, the finer the resolution of the data samples, and
the more accurate the internal data analysis will be. However, setting the sampling rate too
low makes the resulting data collection files larger. The higher the sampling rate value, the
coarser the resolution of data samples, and the less accurate the internal data analysis will
be. However, setting the sampling rate higher will make the resulting data collection files
smaller.
Control buttons in the Data Collection Settings section include the following:
•
START
⇒ Starts data collection on the selected date and time in the START ON field.
•
STOP
⇒ Stops data collection on the selected date and time in the STOP ON field.
When these buttons are disabled, they display as grayed-out.
When data collection starts, HP ESO automatically invokes the Windows Performance Monitor
tool (see
) to collect data from different counters. To view data collected by
the data collection process, use the Workload and Performance History reports page, as described
in
“Workload and Performance History” (page 49)
NOTE:
To obtain the most relevant and up-to-date workload and performance history reports,
perform the data collection process and complete (stop) it immediately prior to accessing the reports
page.
Figure 27 Performance Monitor
Optimizations pages
The Optimizations pages provide various types of optimization recommendations based on collected
data.
Optimizations pages
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