Systems and methods for network quality testing are provided. Synthetic traffic may be sent through a first flow path and a second flow path. The second flow path includes a portion apportionable to the first flow path, internal to a server, and a portion apportionable to an external flow path, external to the server. Durations of traffic traveling through the first flow path and the second flow path are compared to determine the portion of the second flow path apportionable to the external flow path. In an example, time stamping may be performed by component(s) of the server, such as a kernel, to determine the durations of the traffic traveling through the first flow path and the second flow path.

A communication method and a system for converging a 5.sup.th-Generation (5G) communication system for supporting higher data rates beyond a 4.sup.th-Generation (4G) system with a technology for Internet of Things (IoT) is provided. The disclosure is applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as a smart home, a smart building, a smart city, a smart car, a connected car, health care, digital education, a smart retail, security and safety services. A method performed by a first entity performing a network data analytics function (NWDAF) is provided. The method includes receiving, from a second entity performing network function (NF), a first message for requesting observed service experience analytics, the first message including single-network slice selection assistance information (S-NSSAI) indicating a network slice, transmitting, to a third entity performing application function (AF) associated with the S-NSSAI, a second message for requesting service data associated with the observed service experience analytics, the second message including information on at least one application, receiving, from the third entity, the service data including at least one service experience for the at least one application, identifying the observed service experience analytics based on the service data, and transmitting, to the second entity, the observed service experience analytics.

In one example, a location of a potential bottleneck of network traffic in a network is identified. Based on the location of the potential bottleneck, a first QoE inference model is selected from a plurality of respective QoE inference models. The respective QoE inference models are each trained to infer a respective QoE of the network traffic based on one or more respective network traffic metrics generated by monitoring the network traffic at a respective location in the network. One or more first network traffic metrics of the one or more respective network traffic metrics are generated by monitoring the network traffic at a first respective location. The one or more first network traffic metrics are provided to the first QoE inference model to infer a first respective QoE.

Provided are a method for service status analysis, a server, and a storage medium. The method includes: for each vertex of multiple vertices in a graph database: reading out attribute data of the vertex, where the graph database is generated in advance according to a service description table, the vertex represents a service, and the attribute data of the vertex includes at least one service attribute of the service represented by the vertex; and according to the attribute data of the vertex and attribute data of each of multiple related vertices, determining a service status level of the service represented by the vertex, where each of the multiple related vertices has a propagation relationship with the vertex; and according to the service status level of each of the services represented by the vertices, analyzing a service propagation network.

In one example, a location of a potential bottleneck of network traffic in a network is identified. Based on the location of the potential bottleneck, a first QoE inference model is selected from a plurality of respective QoE inference models. The respective QoE inference models are each trained to infer a respective QoE of the network traffic based on one or more respective network traffic metrics generated by monitoring the network traffic at a respective location in the network. One or more first network traffic metrics of the one or more respective network traffic metrics are generated by monitoring the network traffic at a first respective location. The one or more first network traffic metrics are provided to the first QoE inference model to infer a first respective QoE.

A method of operating a node of a communications network is provided. The node is configured to support at least one data link. The at least one data link is between the communications network and a UE. The method includes providing registration data to an exposure node of the communications network. The registration data is for a reporting service on DSI of the at least one data link. The method also includes, upon receiving a subscription request for a subscription to the reporting service, establishing the subscription to the reporting service between the node and an external application node. The external application node is associated with the subscription request. The method furthermore includes providing the DSI in accordance with the subscription to the external application node.

A method of operating a node of a communications network is provided. The node is configured to support at least one data link. The at least one data link is between the communications network and a UE. The method includes providing registration data to an exposure node of the communications network. The registration data is for a reporting service on DSI of the at least one data link. The method also includes, upon receiving a subscription request for a subscription to the reporting service, establishing the subscription to the reporting service between the node and an external application node. The external application node is associated with the subscription request. The method furthermore includes providing the DSI in accordance with the subscription to the external application node.

Techniques described herein relate to a method for diagnosing and remediating service failures. The method includes identifying, by a diagnostic and remediation manager, a diagnostic event associated with a service of services; generating a dependency directed acyclic graph (DAG) associated with the service; generating health vectors associated with each node of the dependency DAG; updating the dependency DAG using the health vectors to generate an unhealthy subgraph; and remediating the service based on the unhealthy subgraph.

Provided is acquiring communication information via communication or directly from an engineering DB (corresponding to one example “database”) in which the communication information related to communication devices constituting a plant network is defined; storing the acquired communication information; calculating, based on the stored communication information, a total communication amount of each of the communication devices supposed in communication executed in corresponding one of the communication devices; estimating, based on the total communication amount, an actual communication amount of each of the communication devices according to an arbitrary estimation condition specified by a user; determining at least presence/absence of a communication device whose actual communication amount exceeds communication capability of the communication device; and outputting a determined determination result to the user.

Provided is acquiring communication information via communication or directly from an engineering DB (corresponding to one example “database”) in which the communication information related to communication devices constituting a plant network is defined; storing the acquired communication information; calculating, based on the stored communication information, a total communication amount of each of the communication devices supposed in communication executed in corresponding one of the communication devices; estimating, based on the total communication amount, an actual communication amount of each of the communication devices according to an arbitrary estimation condition specified by a user; determining at least presence/absence of a communication device whose actual communication amount exceeds communication capability of the communication device; and outputting a determined determination result to the user.