HP XP Performance Advisor Software - Manual (Page 273)

For more information on the tasks that you can perform in the Chart Work Area, see “Using chart
controls and settings” (page 277) .
Viewing top 20 consumers of an MP blade
IMPORTANT: This section is applicable for P9500/XP7 disk arrays.
The top 20 consumers can be LDEVs, continuous access journal groups, or the E-LUNs (external
volumes) that are assigned to an MP blade. The top 20 consumers count is derived based on each
consumer's average utilization of the CPU cycles across the collection cycles during the selected
duration. Those consumers whose average utilization percentage is high when compared to the
other associated consumers are categorized as the top 20 consumers.
Select an MP blade ID (cluster #, blade location) from MP Blades in the component selection tree
and choose the MP Blade Util - Top 20 Consumers metric in the Available Metrics Choose Metric
Category list. For more information, see
“MP Blades navigation path” (page 243) .
A column graph is displayed in a separate Utilization Metrics chart window, where each column
depicts the average MP blade utilization by each consumer. The X-axis represents the consumer
IDs (includes the consumer type and the processing type) and the Y-axis represents the average
MP blade utilization. The chart title includes the P9500/XP7 disk array DKC number, the MP blade
ID, and the metric name for which the graph is plotted. The legends on the top right corner of the
column graph helps you to identify the corresponding consumers.
“MP blade utilization - top 20 consumers” (page 273) displays a column graph for the top 20
consumers of the MPB-1MA.
Figure 29 MP blade utilization - top 20 consumers
Place the pointer over a column to view the following details for the respective consumer:
Example (see Figure 29 (page 273) ) MP blade utilization by top 20 consumers
LDEV:0:18 (Backend) Consumer type, Consumer ID, and the processing type
A consumer's association with a processing type provides an
understanding on the number of processing cycles used by the
consumer with different processing types.
For example, an LDEV 0:09 might be involved in processing
frontend and backend requests. Its processing type reveals
Plotting charts 273