Creating a Queuing Network Model
A queuing network (QN) model predicts saturation, system utilization, throughput, queue length, and response time based on the impact of business drivers running on systems. It estimates service performance against changes in business driver volumes or infrastructure configuration.
To create a queue network model
The following video (4:30) illustrates the process of creating a queue network model.
To predict saturation based on business drivers growth
- In the TrueSight Capacity Optimization Console, click Workspace > All Domains> domainName > Works folder.
- In the working area at the right, at the top of the Works table, from the
Add list, select Add model.
In the BMC TrueSight Capacity Optimization Wizard, follow the instructions on each page. - On the Model type page, select Predict saturation based on business drivers growth (QUEUING NETWORK MODEL), and click Next.
On the PLA page, select the Performance vs. Load analysis on which the model will be based.
In the Correlation analysis list, click
and select the analysis from the list.
- Click Next.
- On the Scope page, from the available list, select the system resources that you want to include in the model and click Next.
- On the Thresholds page, choose the Service demand bounds. Select one of the two available options for the output:
- Show only average service demands.
- Show average service demands and bounds: Enables you to plot bounds through average, optimistic or pessimistic estimation techniques from the Estimate limit using list.
- Click Next.
- On the Name page, type a Name and Description for the model.
A default name based on the selected metrics, is displayed. You can change it as required. You can also clickto select the parameters you want to include in the model name.
- Click Next.
- On the Summary page, click Finish.
The Queueing Network Model's detail page is displayed, listing the entities that the model takes into account.
To view the details page
The model's detail page displays the entities that the model takes into account, and is divided in three tables:
- Systems: Lists all systems and their resources covered by the model.
- Workloads: Lists all workloads which will be analyzed.
- Prediction scenarios: Lists all available scenarios and allows you to add new ones.
QN model: Detail page
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