1) Is the Intelliprofile baseline algorithm based on an exponentially weighted moving average?
2) Is it based on the assumption that the data is Normally distributed?
3) What if the data is not Normally distributed?
1) Is the Intelliprofile baseline algorithm based on an exponentially weighted moving average?
No. The IntelliProfile is an algorithm that analyses a metric activity and establishes the normal behavior for that metric. This is done by detecting the different periodic behavior which comprises the metric activity. The analyzed data is then used to calculate the expected activity of the metric (also known as the baseline) for different time periods.
IntelliProfile assumes that any collected metric is a result of the activities which are done in certain periods. For example a metric activity is usually a combination of the daily normal work, the batch jobs which are run throughout the nights and the monthly load during certain parts of the month.
IntelliProfile is based on the assumption that the periodic activities are daily, weekly, monthly (or constitute other custom defined periods). IntelliProfile tries to detect the metric periodic behaviors and use them in order to establish a baseline of the activity.
2) Is it based on the assumption that the data is Normally distributed?
Yes. IntelliProfile detects frequencies (Hourly, daily and monthly time segments) in which a metric values distribution is normal and properly reflects the metric behavior.
3) What if the data is not Normally Distributed?
Then, as mentioned above, IntelliProfile tries to detect frequencies in which the values distribution is close to normal. If metric values pattern is chaotic or cannot be approximated by a normal distribution in any frequency, then it will impact the quality of the baseline. This scenario is not likely to happen.
