Abstract: Systems, apparatuses, and methods are disclosed to identify sustained and significant changes in transceiver metrics for predicting transceiver failure. A percentage of change with respect to a previous value in the metric can be tracked over a configurable period of time. Anomalies can be identified if such change persists over a minimum configurable period of time. The metrics as well as transceiver metadata are correlated to perform an outlier detection. Optical transceivers of the same type (characterized by a combination of vendor, type, and model) are analyzed for outlier detection. A variability factor is taken into account for metrics, as an indicator of a likely hardware condition that may be precursor of a failure.

Abstract: Systems, apparatuses, and methods are disclosed to identify sustained and significant changes in transceiver metrics for predicting transceiver failure. A percentage of change with respect to a previous value in the metric can be tracked over a configurable period of time. Anomalies can be identified if such change persists over a minimum configurable period of time. The metrics as well as transceiver metadata are correlated to perform an outlier detection. Optical transceivers of the same type (characterized by a combination of vendor, type, and model) are analyzed for outlier detection. A variability factor is taken into account for metrics, as an indicator of a likely hardware condition that may be precursor of a failure.