SMF 100 machine learning data
The IBM® Z Operations Analytics machine learning system uses SMF 100 data to provide insight into normal and abnormal resource usage in Db2® for z/OS® subsystems, based on the CPU time, distributed data facility (DDF), locks, latches, and storage usage.
Data stream definition for SMF 100 machine learning data
Tip: These data streams can be defined only for the IBM Z Operations Analytics machine learning
system.
For prerequisite requirements for defining SMF data streams, see Preparing the Configuration Tool to support SMF record types for Z Operations Analytics.
Table 1 indicates the configuration values to use in defining these data streams in the IBM Z Common Data Provider Configuration Tool.
Type of node in the policy | Required configuration value |
---|---|
Data Stream | All of the following values:
To select these data streams in the Configuration Tool: In the
Select data streamwindow, click , and select the check box for each stream. |
Filter Transform | Not required |
Subscriber | Machine learning system only. For the appropriate values, see Subscribers for each type of source data. |