IntelliProfile (Baseline)
The baseline algorithm parses sampled data into pre-defined time units (for example, day of the week) and distinct episodes (for example, systematically recurring spikes in CPU consumption). These episodes form the basis on which a normative distribution of instance behavior is projected, allowing for both exception monitoring and performance diagnostics. In this manner, the dynamically-created statistically-expected range of resource consumption for both overall workload and individual metrics lend themselves to configurable high and low metric values. The IntelliProfile engine learns the instance "signature" behavior characteristics via sophisticated algorithms to identify the various cyclical and periodic behavior and to neutralize and minimize the random noise distortion (for example, an employee absent due to illness). Its adaptive element grows "smarter" and more accurate with increases in the sampling period. Armed with this knowledge, IntelliProfile can project the acceptable/normal ranges of activity per each point in time.
General
Status - Enable/Disable the baseline functionality. When the adaptive engine is disabled, baseline data collection stops until re-enabled, but data collected until that moment remains available for the algorithm to process
IntelliProfile
Intelliprofile is a "smart" functionality which continually learns the specific instance "signature" (and in the process builds the baseline) either automatically (recommended) or via a specified sample.
The baseline advisory calculating algorithm parses sampled data into defined (for example, day of the week) episodic units. These units form the basis on which a normative distribution of temporal behavior is projected. Specify here whether the baseline ranges are to be derived from the entire period of collected data, or from a sample week, or a set-of-days subset.
Excluded Periods
Intelliprofile can exclude abnormal periods whose data would distort calculation. Use the listing to specify periods to be excluded.
The Intelliprofile learning process is, by default, scheduled to occur in the early hours of the morning. As the specific instance "signature" understanding grows over time, the re-learning process is scheduled to occur at increasing intervals.