Overview of a model
A model is a simplified mathematical description of service components that evaluates historical data, predicts future behavior, and simulates what-if scenarios. Models are always built on existing data and analysis.
After you create a model, you define scenarios to perform multiple predictions under different conditions.
You can manage the following types of models in TrueSight Capacity Optimization:
- Working with queuing network models
- Working with time forecasting models
- Working with extrapolation models
- Working with event detection models
- Working with consolidation models
For more information about using models, see Editing and maintaining models.
Scenarios and models
A scenario is an operating condition for a model. It defines the environment and the input parameters for a particular model solution. Running a model within a scenario predicts the behavior of entities for a particular condition.
Note
A Golden analysis allows you to schedule its execution (for example, daily) and publish custom statistics with which you can trace the trend of the results. For more information, see Working with producer-based and rule-based custom statistics.
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