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: This disclosure pertains to computer-assisted methods, apparatus, and systems for forecasting network performance responsive to network reconfigurations in large scale communication networks.

Abstract: This disclosure pertains to computer-assisted methods, apparatus, and systems for efficiently monitoring and storing the state of large-scale communication networks and tracing packet routes through such networks.

Abstract: This disclosure pertains to computer assisted methods, apparatus, and systems for determining a path that a data packet would have traversed through a communication network at a particular point in time, which may be used, for instance, to determine the sources of connectivity failures in a large scale communication network.