This chapter describes the following procedures:
The Performance Agent software provides data archiving options to archive and reduce the performance data that the primary Performance Agent collects daily, for use in long-term performance studies. When Performance Agent archives the daily data files, the resultant files are called history files. You can use history files as the data source for generating performance evaluation reports, dump reports, models, auxiliary analysis, and graphs. Hot file data is not archived.
Performance Agent creates the history files according to a user-specified archiving scheme, as defined in the parameters file. Multiple history files and data reduction schemes are allowed, and each is identified by a unique name. Performance Agent provides two default history file archiving schemes: MONTHLY_MODEL and MONTHLY_USER. You can use, modify, or delete these, or create your own to suit your needs.
To view the elements of the history file definitions, issue the
SHOW/HISTORY * command from the Parameter Editor. A file similar to the following example appears:
History Descriptor History Descriptor Parameters
-------------------- ---------------------------------------
MONTHLY_USER Granularity = Monthly; (No Periodicity) Interval = 60 minutes; Delete_after = 180 days; No modelling data is saved. Usergroup classification families: EACH_USER Normal Schedule Monday 0-24 Tuesday 0-24 Wednesday 0-24 Thursday 0-24 Friday 0-24 Saturday 0-24 Sunday 0-24 Holiday Schedule Monday 0-24 Tuesday 0-24 Wednesday 0-24 Thursday 0-24 Friday 0-24 Saturday 0-24 Sunday 0-24
MONTHLY_MODEL Granularity = Monthly; (No Periodicity) Interval = 60 minutes; Delete_after = 180 days; Modelling data is saved. Normal Schedule Monday 10-12, 14-16 Tuesday 10-12, 14-16 Wednesday 10-12, 14-16 Thursday 10-12, 14-16 Friday 10-12, 14-16 Saturday Sunday Holiday Schedule Monday Tuesday Wednesday Thursday Friday Saturday Sunday
This section contains the following topics:
Set Up a History File Reduction Scheme
Archive Performance Agent Data
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