HP StorageWorks Fabric OS 5.0.0 Fabric Watch User Guide (AA-RW1TA-TE, May 2005)

Fabric Watch concepts32
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, page 32
• Buffer values, page 33
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.