Ciena Corporation
Learning Alarm and PM threshold values in network elements based on actual operating conditions

Abstract:

Systems and methods include obtaining measured data associated with one or more parameters associated with operation of a network element in a network, wherein the measured data is over a learning window; analyzing the measured data to statistically determine thresholds for the one or more parameters; and configuring the network element with the determined thresholds for the one or more parameters, wherein the network element is configured to compare ongoing measurements of the one or more parameters with the determined thresholds, and to use any threshold crossings for any of alarming and actions on the network element. The systems and methods can further include, subsequent to a predetermined time period after the configuring, recalibrating the thresholds for the one or more parameters based on updated measured data and reconfiguring the network element with the recalibrated thresholds for the one or more parameters.