A computer system configured to identify errors in a session launch initiated by a client application is provided. The computer system includes a memory and at least one processor coupled to the memory. The at least one processor is configured to receive one or more events from one or more applications or devices involved in the session launch, wherein an event of the one or more events comprises information from an application or device call (e.g., an application programming interface (API) call) communicated during the session launch, the information comprising destination information; build a primary Directed Acyclic Graph (DAG) based on the information from the API call; determine an error identifier based on the primary DAG; retrieve a troubleshooting recommendation from a library based on the error identifier; and send the troubleshooting recommendation to the client application.

A computer system configured to identify errors in a session launch initiated by a client application is provided. The computer system includes a memory and at least one processor coupled to the memory. The at least one processor is configured to receive one or more events from one or more applications or devices involved in the session launch, wherein an event of the one or more events comprises information from an application or device call (e.g., an application programming interface (API) call) communicated during the session launch, the information comprising destination information; build a primary Directed Acyclic Graph (DAG) based on the information from the API call; determine an error identifier based on the primary DAG; retrieve a troubleshooting recommendation from a library based on the error identifier; and send the troubleshooting recommendation to the client application.

A method for optimizing network bandwidth utilization through intelligent updating of network function (NF) profiles includes, at an NF repository function (NRF), receiving, from a first NF that previously communicated with a failed geo-redundant mate of the NRF as primary, an NF heart-beat request message. The method further includes locating an NF profile for the first NF in an NF profiles database maintained by the NRF. The method further includes computing an NF profile data modification detection value for the NF profile. The method further includes transmitting the NF profile data modification detection value to the first NF.

A method for optimizing network bandwidth utilization through intelligent updating of network function (NF) profiles includes, at an NF repository function (NRF), receiving, from a first NF that previously communicated with a failed geo-redundant mate of the NRF as primary, an NF heart-beat request message. The method further includes locating an NF profile for the first NF in an NF profiles database maintained by the NRF. The method further includes computing an NF profile data modification detection value for the NF profile. The method further includes transmitting the NF profile data modification detection value to the first NF.

Techniques to generate network simulation scenarios are described. In one embodiment, an apparatus may comprise a records component operative to receive an example network configuration record; receive an example network operation record; a machine learning management component operative to generate a network operation model using a machine learning component based on the example network configuration record as an example input and the example network operation record as an example output; and a system-test component operative to receive a system-test network configuration record; and generate a system-test network operation record based on the system-test network configuration record using the network operation model. Other embodiments are described and claimed.

A fault recovery method and apparatus, and a storage medium are provided, and belong to the field of Internet technologies. In the method, network composition information and abnormal event information of a target network are obtained, where the network composition information includes a network topology of the target network and device information of a plurality of network devices on the target network, and the device information includes one or more of interface configuration information, protocol configuration information, and service configuration information; and then a possible root cause of a fault of the target network is determined based on the network composition information and the abnormal event information, where the possible root cause of the fault is used to determine a corresponding fault recovery plan.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a warning message comprising a first indication of a priority of the warning message and a second indication that identifies an event. The UE may transmit a repetition of the warning message based at least in part on the first indication. Numerous other aspects are described.

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may receive a warning message comprising a first indication of a priority of the warning message and a second indication that identifies an event. The UE may transmit a repetition of the warning message based at least in part on the first indication. Numerous other aspects are described.

A method of managing a controller of a software defined networking (SDN) network is implemented by a computing device in the SDN network. The method includes receiving status information for the controller, receiving usage information for the operating environment, generating at least one failure prediction for the controller based on the received status information, and outputting prediction information for the at least one failure prediction.

A method of managing a controller of a software defined networking (SDN) network is implemented by a computing device in the SDN network. The method includes receiving status information for the controller, receiving usage information for the operating environment, generating at least one failure prediction for the controller based on the received status information, and outputting prediction information for the at least one failure prediction.