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Private alarm group, Configuring the rmon statistics function, Configuring the rmon ethernet statistics function – H3C Technologies H3C SR8800 User Manual

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(the blue line in the figure) for multiple times, and multiple crossing points are generated, but only

crossing points marked with the red crosses can trigger alarm events.

Figure 40 Rising and falling alarm events

Private alarm group

The private alarm group calculates the values of alarm variables and compares the result with the defined

threshold, thereby realizing a more comprehensive alarming function.
The system handles the prialarm alarm table entry (as defined by the user) in the following ways:

Periodically samples the prialarm alarm variables defined in the prialarm formula.

Calculates the sampled values based on the prialarm formula.

Compares the result with the defined threshold and generates an appropriate event.

NOTE:

If the count result of the private alarm group overpasses the same threshold multiple times, only the first
one can cause an alarm event. In other words, the rising alarm and falling alarm are alternate.

Configuring the RMON statistics function

RMON statistics function can be implemented by either the Ethernet statistics group or the history group,

but the objects of the statistics are different, you can configure a statistics group or a history group

accordingly.

A statistics object of the Ethernet statistics group is a variable defined in the Ethernet statistics table,
and the recorded content is a cumulative sum of the variable from the time the statistics entry is

created to the current time. For detailed configuration, see “

Configuring the RMON Ethernet

statistics function

.”

A statistics object of the history group is the variable defined in the history record table, and the
recorded content is a cumulative sum of the variable in each period. For detailed configuration, see

Configuring the RMON history statistics function

.”

Configuring the RMON Ethernet statistics function

To configure the RMON Ethernet statistics function: