Users Guide
• Power/Temperature sampling interval — Every 30 minutes, for example, 08:00, 08:30, 09:00, and so
on.
Configuring the power and temperature sampling intervals
1. On the Settings screen, click the Monitoring tab. Select the Monitoring all devices and groups
check box to enable the power and thermal monitoring of all devices and groups.
2. Enter values in the Power Sampling Interval and Temperature Sampling Interval text boxes.
The default power and temperature sampling interval is one minute.
3. Click Save to apply the settings, or click Reset to revert to the previously saved settings.
Configuring the power and temperature monitoring units
1. Under Monitoring → Power Units settings, select the unit of measurement in which the power
consumption must be displayed.
The available options are:
• Watts
• BTU/hr
2. Under Temperature Units, select one of the following options in which the temperature monitoring
must be displayed.
The available options are:
• Celsius
• Fahrenheit
3. Click Save to apply the settings, or click Reset to revert to the previously saved settings.
Configuring energy consumption cost settings
1. In the left pane, click Settings → Monitoring.
2. In the Energy Consumption Cost section, enter values in the Flat Rate and Cooling Multiplier text
boxes.
Flat rate is the cost of power used per kWh in the specified currency.
Cooling Multiplier is used to estimate the energy needed to cool the device or device group.
3. From the Currency drop-down list, select the currency in which the energy consumption cost must
be displayed.
4. Click Save to apply your settings, or click Reset to revert to the previously saved settings.
NOTE: Changes to the Cooling Multiplier take effect immediately. But, changes to the Flat
Rate take effect at the beginning of the next hour.
Database policy settings
Database policy settings are used to configure the database maintenance policy.
OpenManage Power Center stores monitoring data for your data center in a database file, using
compressed power/temperature data to optimize for higher query performance and smallest database
size. It stores both power/temperature compressed data and non-compressed data in the database. Data
compression helps improve data query efficiency by aggregating and saving monitoring data using a
bigger granularity (hourly or daily), but not the original granularity decided by the Sampling Interval.
116