Hp P6000 Performance Advisor Software Manuel d'utilisateur télécharger pdf (Page 30)

Following is an approximate database growth rate for different polling intervals and number of

performance objects based on the tests conducted in the HP lab environment:

Approx database growth rateNumber of objectsPolling interval

6 GB/month20030 Seconds

40 GB/month200045 Seconds

41 GB /month409690 Seconds

For more information on configuring performance and state data collection polling intervals, see

“Adding performance objects for monitoring” (page 55).

Statistical data

The statistical data shown in HP P6000 Performance Advisor is based on historical data and

includes the basic and advanced statistics. You can view statistical data for storage systems and

performance objects for a predefined or custom duration. By default, the basic statistical data is

displayed based on data collected in the last hour.

IMPORTANT:

• When performance data is viewed as an aggregate of both controllers, the statistical values

(Standard Deviation, minimum, maximum, average, and percentile) are based on the same

aggregate. It means that both the controllers data is aggregated and then the statistical values

are derived from those aggregated values.

• Average of a counter (example, percentage or transfer size) for a duration is derived from all

the values. For example: Average of Read Percent is calculated based on the (sum of Read

IOPS of all the performance samples) * 100/(sum of read and write of all the performance

samples) for a specified duration.

Basic statistics

Basic statistical data includes the following:

• The minimum value sample collected during the selected duration

• The maximum value sample collected during the selected duration

• The average value sample collected during the selected duration

Advanced statistics

Advanced statistical data includes the basic statistical data and also the following:

• Standard Deviation.

Standard deviation is a statistical measure of variability and considered as the root mean

square deviation of the values from their arithmetic mean. A low standard deviation indicates

that the data points are closer to the mean value. A high standard deviation indicates that the

data points are spread over a large range of values. For example, high standard deviation

for any Throughput (Req/s) counter indicates that the host did not receive uniform I/O requests

for the selected duration.

• 90th, 95th, and 99th percentile value samples for the selected duration.

A percentile is a value on a scale of 100 that indicates the percent of distribution equal to the

percentile value. For each data series, the 90th, 95th, and 99th percentile are computed to

ignore the data points in top 10%, 5% or 1% of the utilization peaks. Then, the value is

rounded off to the nearest data sample, so that infrequent peaks are ignored. Such estimates

can help maximize utilization of your systems to ensure only the required storage performance

capacity.

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Hp P6000 Performance Advisor Software Manuel d'utilisateur Page 30

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