This documentation supports releases of BMC Helix Continuous Optimization up to December 31, 2021. To view the latest version, select the version from the Product version menu.

Modeling capacity usage

BMC Helix Continuous Optimization allows you to predict the service performance and obtain forecasts of historical series of metrics, including deep details on the modeling techniques used in forecasts and how to interpret the results of model executions.

An example of common forecast that you can obtain is predicting the resource utilization of systems and business drivers.

The following video (3:58) provides a high-level overview of models.

Related topics

Creating-a-model-workflow

Managing-defined-analyses-models-reports-and-documents

Overview of a model

A model is a simplified mathematical description of service components that evaluates historical data and predicts future behavior. Models are always built on existing data and analysis.

After you create a model, you define scenarios to perform multiple predictions under different conditions. Scenarios help to clarify how the given predictions might change with changes in the system or business driver data and arrive at the solution that best corresponds to the business needs.

You can manage the following types of models in BMC Helix Continuous Optimization:

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.

 

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