Abstract: Systems, apparatuses, and methods are described for auto-discovery of port-to-port connectivity through correlative analysis on performance metrics. Statistical data corresponding to each port of routers and transport devices may be collected. The collected data may be processed such that missing data may be patched and time frames may be aligned. Statistical analysis may be performed on the collected data. Such statistical analysis may comprise generating a waveform based on the data and determining, e.g., correlations in the data. If the analyzed data of one port matches analyzed data of another port, the two ports may be determined to be connected to one another. A match may be based on meeting various criteria and/or thresholds.

Abstract: Systems, apparatuses, and methods are described for auto-discovery of port-to-port connectivity through correlative analysis on performance metrics. Statistical data corresponding to each port of routers and transport devices may be collected. The collected data may be processed such that missing data may be patched and time frames may be aligned. Statistical analysis may be performed on the collected data. Such statistical analysis may comprise generating a waveform based on the data and determining, e.g., correlations in the data. If the analyzed data of one port matches analyzed data of another port, the two ports may be determined to be connected to one another. A match may be based on meeting various criteria and/or thresholds.