The Performance Analyzer Warehouse
Agent can
perform analytical calculations using general arithmetic, linear trending,
or nonlinear trending.
Arithmetic tasks
Use Arithmetic to apply a simple calculation to one or
more attributes which results in a single, more meaningful, new attribute.
For example, to calculate memory consumption for Windows,
multiply CommittedMemory by 100 and then divide by CommittedLimit.
Linear trending
Use Linear Trending for forecasting purposes. The linear
trending calculations use the Least Squares Regression method. This
method approximates a linear pattern of use, over time, for selected
attributes based on their values in the past. For example, use linear
trending to estimate when a machine will run out of disk space based
on the current rate of growth.
Nonlinear Trending
Use nonlinear trending for forecasting purposes,
for example to forecast the pattern of CPU usage of a virtual machine
and set thresholds to warn you well in advance.