Real-time probabilistic root cause correlation of network failures

A system for performing real-time probabilistic root cause correlation, the system comprising:

• a memory storing computer-readable instructions, one or more event models, and/or one or more Bayesian networks;
• and
• one or more processors, the one or more processors configured to execute the computer-readable instructions, which when executed carry out the method comprising:
• receiving network topology data from a plurality of external sources and generating a cross-layer network topology;
• generating an event model based on the generated cross-layer network topology, the event model modeling the causal relationships between root causes and one or more observed failure events that are associated with one or more network entities;
• receiving a plurality of network event data for the one or more network entities identified in the cross-layer network topology;
• inferring, using a trained Bayesian network, a root cause of at least one failure event indicated in the plurality of network event data based on the plurality of network event data and the generated event model;
• and
• outputting the inferred root cause correlated to the failure event indicated in the plurality of network event data.