Using the performance modeling tool – Dell POWERVAULT MD3600I User Manual

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– Right click on the SSD cache and select Delete.

The Confirm Delete SSD Cache window is displayed.

3.

Type yes to confirm and click Delete.

Using The Performance Modeling Tool

The SSD Cache Performance Modeling tool helps you determine the performance improvement for SSD cache capacity

when you run the performance modeling tool with a workload that has the same characteristics as what you run in

production. The tool provides an estimate of performance using the following metrics: cache hit percentage and

average response time. This tool shows actual performance for the physical SSD cache that you created.

To run the performance modeling tool:

1.

In the AMW, select the Storage & Copy Services tab.

2.

To access the performance modeling tool, highlight the SSD Cache node in the logical tree view.

3.

Do one of the following:

– From the menu bar, select Storage → SSD Cache → Run Performance Modeling.
– Right click on the SSD cache and select Run Performance Modeling.

The SSD Cache Performance Modeling window is displayed.

4.

Review the information in the Modeling Information area of the SSD Cache Performance Modeling window.

5.

Select one of the following options from View results to choose the format you want to view the results:

– Response Time
– Cache Hit %

6.

Click Start to run the performance modeling tool.

NOTE: Depending on the cache capacity and workload, it may take about 10 to 20 hours to fully populate the
cache. There is valid information even after a run of a few minutes, but it takes a number of hours to obtain
the most accurate predictions.

NOTE: While the performance modeling tool is running, a progress bar is displayed in the main area of the
window. You can close or minimize the window and the performance modeling continues to run. You can even
close the MD Storage Manager and the performance modeling session continues to run.

7.

To save the results of a performance modeling session, click Save As and save the data to a .csv file.

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