HP StorageWorks Fabric OS 5.x Fabric Watch Administrator Guide (AA-RVJ0B-TE, September 2005)

20 Fabric Watch concepts
Triggered event behavior
If you do not want notification during each sample period from the port hardware failure to the time of its
repair, you can define the event behavior as
triggered .
When an event behavior is defined as triggered, Fabric Watch sends only one event notification when the
fabric meets the criteria for the event. It does not send out any more notifications.
For example, when a port fails, Fabric Watch sends you a notification of the failure. After you repair the
port, Fabric Watch detects the repair. At this time, Fabric Watch determines that the fabric no longer meets
the event criteria, and watches for the error again. The next time the port fails, it sends you another
notification.
Data values
A data value represents an aspect of a fabric in three ways: counter value, measured value or state value.
Data values are updated by Fabric Watch approximately every six seconds. You cannot change them.
Counter value is the total number of times that a given event has occurred. For each monitored event
during the time period, the value is incremented.
Measured value is the current, measurable value of a fabric or fabric element, such as environmental
temperature or fan speed.
State value, which is the only qualitative data value, provides information on the overall state of a fabric
component, such as the physical health of a fan. Instead of numerical data, state values contain
information on whether components are faulty, active, or in another state.
Fabric Watch compares counter values and measured values to a set of configurable limits to determine
whether fabric monitoring has occurred and whether to notify you. You must set appropriate threshold
boundaries to trigger an event.
State values are handled differently, as Fabric Watch monitors state values for certain states, which you
can select. When a state value transitions to one of the monitored states, an event is triggered.
Threshold values
Threshold values are of the following types:
• ”High and low thresholds” on page 20
• ”Buffer values” on page 20
High and low thresholds
High and low threshold values are the values at which potential problems might occur. For example, in
configuring a temperature threshold, you can select the temperatures at which a potential problem can
occur due to both overheating and freezing.
You can compare high and low thresholds with a data value. The units of measurement are the same as
that of the associated data.
Buffer values
You can use buffer values to reduce the occurrence of events due to data fluctuation. When you assign a
buffer value, it is used to create a zone in which events cannot occur both above the high threshold and
below the low threshold.