WWR2 : Tour of the user interface : Performance tab (assess project performance)
Performance tab (assess project performance)
 
For a list of products that support performance modeling, click the Messages (Bell icon) and go to Important News / Storage Modeller Products Supported and Training Replay links.
 
 
Notes:
When you access this tab, you see the following sub-tabs:
 
Click the following links to learn about the other tabs in this view:
You must define the storage system hardware before you do performance modeling. See “Hosts tab (configure the hosts in a project)” for details on defining the storage system hardware.
 
Note: You must define host adapters to do performance predictions.
Once the storage hardware is defined, select the Performance tab to enter or modify workloads.
The Performance function computes the effect of changes on configuration or workload at the level of a storage system disk subsystem. Modeling results will be shown at the level at which the I/O load statistics were entered.
 
Disclaimer: Guarantees are not expressed or implied as to the correctness or accuracy of the results that Storage Modeller generates. This includes performance predictions.
Guidelines for when to use the performance function:
▪Assumes a workload that is evenly spread across assigned resources:
 – Not intended to determine source of performance issues
 – Not intended to be used to debug performance issues
▪Focuses on specific interval, not entire workload:
 – Several intervals may be used for analysis (such as Peak IO, Peak Write MBs or Peak Total MBs), but in each incidence it is just the one interval
▪Assumes implementation with best practices
▪Used to determine if current workload can be run on new IBM storage hardware with equal or better performance:
 – Compare different solution configurations for new hardware
 – Size IBM solutions to replace competitive environments
 – Combine multiple workloads on to new hardware
 – Show growth capability with new hardware
 
Note: You can use the Performance function to determine the performance during “Peak” intervals. During that “Peak” interval period, we see the highest levels of I/O, MBs, or other metric.