Working with queuing network models
A queuing network (QN) model predicts future system utilization, throughput, queue length, and response time based on the impact of business drivers running on systems. A key feature of this model is that it enables you to perform what-if analysis to predict, for example, the impact of a system type change or a variance in system resources like CPU or memory based on the current model.
Types of queuing network models
TrueSight Capacity Optimization supports the following types of queuing network models:
The Customized queuing network model is deprecated in TrueSight Capacity Optimization version 11.3.01. BMC recommends that you use the easy-to-setup and maintain express queueing network model that provides the same what-if capabilities with a simplified workflow. See Deprecated and dropped features and components.
Overview of the QN model type
The following figure shows how an example of how an input-output table for a QN model appears in TrueSight Capacity Optimization.
Example of an input-output table for the QN model
The following table describes the Business Drivers (formerly known and shown in the figure as Workloads) and Systems in the example.
The following figure shows the response time chart for the example.
Response time plot before computer upgrade
Beyond the given threshold, the response time experiences an exponential increase in value (the region shaded red).
The current system can be improved, as shown in the following figure.
Upgrading the computers to see the effect on the response time
Applying this change yields the plot shown in the following figure.
Response time plot after computer upgrade
The response time drops compared to the earlier values.
With TrueSight Capacity Optimization, you can simulate various scenarios to arrive at the solution that best corresponds to your needs.