3. PERFORMANCE ANALYSIS TOOLS › 3.3 Data Clustering Analysis › 3.3.5 Component Operation › 3.3.5.1 Data Clustering Screen
3.3.5.1 Data Clustering Screen
Figure 3-43 illustrates the Data Clustering screen.
/------------------------------- Data Clustering ----------------------------\
| Command ===> |
| |
|Composing CA MICS Inquiry: CLUCIO - Data Clustering |
| |
|CA MICS file ===> - |
|Time-span: DETAIL Cycle(s) ===> __ - __ |
|Data base ===> _ _ _ _ _ |
|Allow Run-Time Override of Data Base ===> Y (Y/N) and/or Cycle(s) ===> Y (Y/N) |
| |
|Analysis based on ===> ________ ________ ________ ________ ________ |
| ________ ________ ________ ________ ________ |
|Report for each cluster ===> ________ ________ ________ ________ ________ |
| ________ ________ ________ ________ ________ |
| |
|Data Selection: Allow run-time override |
| Date ===> _______ - _______ _______ - _______ ===> N (Y/N) |
| Hour ===> __ - __ __ - __ __ - __ ===> N (Y/N) |
| Zone ===> _ _ _ _ _ _ _ _ _ ===> N (Y/N) |
| SYSID ===> ____ ____ ____ ____ ____ ____ ===> N (Y/N) |
| |
| |
|Specify extended options ===> N (Y/N) |
\-------------------------------------------------------------------------------/
Figure 3-43. Data Clustering Screen
The Data Clustering screen contains the following fields:
CA MICS file: The CA MICS file that contains the data
elements that you wish to include in your
workload characterization analysis. If you are
uncertain of the correct file name, type a
question mark (?) in this field to obtain a
complete selection list for your installation.
Cycle(s): The cycle or cycles of the input file that are
used in the analysis. For most installations,
there is one cycle of DETAIL data for each day.
You may specify a maximum of 21 cycles.
Database: The database unit identifier(s)(up to five
units) that contain the specified CA MICS file.
An eight-character database unit name is
displayed after you specify this identifier. If
you are uncertain of which database unit the
file resides in, type a question mark (?) in
this field to obtain a complete selection list
for your installation.
Analysis The features (data elements) that are analyzed
based on: by the clustering procedure. You can define a
maximum of ten features. Cluster variables
must be numeric. These data elements may
either be CA MICS data elements or non-CA MICS
data elements. If you specify non-CA MICS data
elements, you must provide the SAS code to
derive them via the exit available on the
Extended Options Menu, Figure 3-48.
Report for The data elements that will be detailed in the
each Resource Consumption by Cluster Reports (see
cluster: Section 3.3.3.3). At a minimum, you will
generally want to specify all of the data
elements specified for the Analysis based on
the parameter. In addition, you can specify
other numeric data elements that you might find
informative in the reports. For example,
clusters for a job class study might be
developed using CPU time, tape mounts, and
print lines as features. You might also wish
to report on tape EXCPs, tape drive occupied
hours, disk EXCPS, and average elapsed time of
the jobs assigned to the clusters.
A maximum of ten report variable names can be
specified. Report variables must be numeric.
These data elements may be either CA MICS data
elements or non-CA MICS data elements. If non-
CA MICS data elements are specified, you must
provide the SAS code to derive them via the
exit available on the Extended Options Menu.
Date The selection criteria for Date, Hour, Zone,
selection: and SYSID to subset the data you are examining.
You must enter date values in the ddmonyy
format.
SYSID The system identification number. If SYSID is
not specified, data from all systems will be
invalid in the analysis.
Specify The specification for selecting extended
extended options. Select this option if you wish to
options: specify additional parameters.
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