Getting a Quick Start with NerveCenter - Working with Behavior Models - Enabling the IfData_LogToFile Behavior Model -
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Enabling the IfData_LogToFile Behavior Model

The IfData_LogToFile behavior model repeatedly logs interface attribute values that help you track bandwidth and data-flow levels over a period of time. You can use these values to establish baselines, identify user patterns, determine network utilization, and anticipate potential problems. Because you can change the attributes that are logged, you can use this behavior model to identify and log a variety of information about your network.

Viewing the IfData_LogToFile Alarm

The IfData_LogToFile alarm -- a key element of the behavior model -- is instantiated when a node returns values for all the attributes that are polled. To see how the alarm accomplishes this, open the alarm's definition window.

 
  To open the IfData_LogToFile Alarm Definition window:

  1. alarmShadedb.gif From the client's Admin menu, choose Alarm Definition List.

    The Alarm Definition List window is displayed. All alarms are turned off by default when you install NerveCenter.

    The Alarm Definition List Window

    AlarmDefList_IfDataLogger.gif

    Click the thumbnail above to view full-sized image.

  2. Select the IfData_LogToFile alarm and select Open.

    The Alarm Definition window is displayed. Below is a picture of the alarm's finite state diagram.

    IfData_LogToFile Alarm State Diagram

    BehModel4a.gif

    Click the thumbnail above to view full-sized image.

As you can see from the diagram, the alarm contains two states:

The alarm also contains two ifData transitions. The name assigned to a transition is based on the name of the trigger that causes the transition to occur.

In this alarm, the first ifData trigger instantiates the alarm, which transitions to the Logging state and automatically writes alarm data to a file. Subsequent ifData triggers continue the logging action.

Both states in the diagram have green icons. The color of a state icon indicates the severity level associated with that state. In this case, both states have a severity of Normal.

Select Notes to see a description of the alarm, including its severities, any polls or masks that trigger the alarm, any actions associated with a transition, and other useful information.


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This file was last updated on 10 October 2000