Abstract: Aspects of the subject disclosure may include, for example, obtaining a first alarm from a first communication device, based on the obtaining of the first alarm, obtaining a value for each of a first plurality of parameters, resulting in a first plurality of values, applying the first plurality of values to a first graph of a communication network to generate a modified first graph, applying a first algorithm to the modified first graph to generate a first subgraph, and identifying a degradation in a quality of service associated with the communication network based on the first subgraph. Other embodiments are disclosed.

Abstract: Facilitating localization of faults in core, edge, and access networks is provided herein. Operations of a system can include establishing a restoration of a group of communication paths of a network infrastructure that includes network nodes between a root network node and a leaf network node. A fault is determined to exist in the group of communication paths between the root network node and the leaf network node. The operations also can include determining that a defined network node of the network nodes is a source of the fault based on respective positions of user equipment experiencing the fault relative to the defined network node. Further, the operations can include removing the fault based on controlling a functionality of the defined network node.

Abstract: Disclosed are systems, methods and computer-readable media for identifying failed points in a network in real time. The system and method employ a topology database against which parsed and enhanced fault notifications are compared to identify the location of the fault notifications. The fault notifications are associated into a single event. A root cause analysis module having machine learning capabilities is used to match the single event with a predicted root cause by accessing a root cause database established with existing historic data and heuristically derived failure scenarios.