Configuration Tool - Params Tab

Automic Automation Intelligence uses several customizable parameters in its processing.

  • The Params tab allows users to modify parameters; these parameters are stored in the JawsProperties table. The width of the columns of the table is adjustable by clicking and dragging on the column border. Include or exclude which columns you view by right-clicking while hovering over the header.

    Columns - The following column are available in the Param tab:

    • Name:Database column name of the parameter

    • Value: Current value

    • Min: Minimum allowable value

    • Max: Maximum allowable value

    • Default: Value at time of install

    • In Effect: The change of value takes effect either immediately or after the Automic Automation Intelligence client is launched

Description:Provides an explanation for the selected parameter.

User-influenced Jobstream Predictions: Automic Automation Intelligence Statistics Generator is the component that derives the average duration of each individual job in the scheduler environment. It uses a number of heuristics to compute each job’s average duration (eliminating outliers, etc.) The average durations computed by the Statistics Generator are then used by the Automic Automation Intelligence Prediction Engine to provide you with the most accurate jobstream completion predictions. Users may influence the Statistic Generator by customizing some of the input. Users who have the proper authority to do so can set the number of days and the number of job runs that the Statistic Generator will use to calculate average duration. The user can also choose to have jobs that failed or were terminated excluded from the statistics, and can also apply a weighting factor to more recent runs.

The Statistics Generator allows you to do the following:

  • Include a minimum number of days and a minimum number of job runs. Once both thresholds are met, ignore any older runs.

  • Ignore job runs that have a last state type of Failure or Terminated.

  • Apply a weighting factor to the job runs based on how recent each run is so that newer runs will contribute relatively more to the average.