This file is generated by Profile Generator and used by AD preprocessor for detecting anomalies and generating alerts.
Both Profile Generator and Evaluator are available as R scripts additional R CRAN (free) software is required for use R scripts.
The profile can be generated 'manually', using external tools, or by a Profile Generator using appropriate model, based on historic values from the log file.
The profile can be generated 'manually', using extemal tools, or by a Profile Generator using appropriate model, based on historic values from the log file.
The whole implementation of Profile Generator is divided into few parts.
Profile Generator is controlled with parameters passed for script execution--all script parameters are handled with getopt () function.
Profile Generator actually implements five methods of profile file generation: moving average, naive method, autoregressive time series model, Holt-Winters model and Brutlags version of HW model (see e.
Naive method is the simplest method implemented in Profile Generator module.
Moving average method is computed when Profile Generator is run with '-m AVG' parameter set.
For computing an Holt-Winters model Profile Generator must be launched with parameter '-m HW'.
Implementation of Holt-Winters prediction method in Profile Generator is based on function HoltWinters () from package stats.
Parameters for Profile Generator script are validated against bellow BNF notation grammar: