Provided is a communication apparatus communicating with an external apparatus connected via a network, and the communication apparatus includes a processor and a memory storing program instructions that cause the processor to: calculate a communication interval of data communicated within the communication apparatus; determine whether to perform communication with the external apparatus based on whether the communication interval is within a range set in advance; and transmit, to the external apparatus, communication data including the communication interval determined to perform communication with the external apparatus, latter data in the communication interval, and a transition between former data and the latter data in the communication interval, so that traffic from an apparatus to outside is reduced while suppressing deterioration in detection accuracy of unauthorized communication.

Provided are a data sampling method and apparatus for a network device, a device, and a medium. The data sampling method for a network device includes: configuring, by a central processing unit (CPU), a sampling parameter of target data to a coprocessor; generating, by the coprocessor, a sampling instruction packet at a set frequency according to the sampling parameter, and sending the sampling instruction packet to a network processing unit (NPU); and generating, by the NPU, a sampling reporting packet of the target data according to the sampling instruction packet, and sending the sampling reporting packet to the CPU.

Provided are a data sampling method and apparatus for a network device, a device, and a medium. The data sampling method for a network device includes: configuring, by a central processing unit (CPU), a sampling parameter of target data to a coprocessor; generating, by the coprocessor, a sampling instruction packet at a set frequency according to the sampling parameter, and sending the sampling instruction packet to a network processing unit (NPU); and generating, by the NPU, a sampling reporting packet of the target data according to the sampling instruction packet, and sending the sampling reporting packet to the CPU.

A data processing method and an apparatus relate to the communication field. The data processing method includes: A first network data analytics network element determines identification information of one or more submodels related to a target model. The first network data analytics network element sends the identification information of the submodel to a network element corresponding to the identification information of the submodel. The first network data analytics network element receives, from the network element, a value that reflects impact of the submodel on the target model, and performs training, to obtain the target model. The data processing method and apparatus provide functions such as accurate data collection, data analysis, and data training.

A communication apparatus includes: a controller that determines a time stamp as a starting point and a unit period of the time stamp starting from the starting point; an encapsulator that synchronizes, starting from the starting point, a GPIO (General Purpose Input/Output) signal from a Master with the time stamp to generate one of a first GPIO packet including all pieces of sampling data sampled at a constant sampling period and a first GPIO packet including sampling data sampled at a sampling interval according to a frequency of logical changes of the GPIO signal and sampling position information; a LINK that generates an Up link packet including the first GPIO packet; and a PHY that transmits a transmission signal to a communication partner apparatus, the transmission signal conforming to a predetermined communication protocol and including the Up link packet.

Provided herein are systems and methods for determining relationships between events occurring in networks. Notifications describing events occurring in networks can be received and processed to determine groups of network event types. A root-cause network can be generated based on the events, with the nodes of the root-cause network representing different event types and the edges of the root-cause network indicating directional, causal relationships between the nodes. A received network event can be processed to determine potential causes of the received network event based on the root-cause network and other events received by the network.

The embodiments herein provide a method for reducing KPI data. The disclosed technique is used to reduce insignificant KPI data generated by network entities (NEs) such as Radio Access Network (RAN) or element management system (EMS)/network management system (NMS). Further, the method includes determining a threshold value for each KPI data to determine significance of the KPI data and uses the threshold value to reduce the KPI data in a file. Further, the method includes utilizing a network bandwidth (e.g., control plane traffic load) and a storage space in the EMS/operations support system (OSS) efficiently and helps operators of the EMS/OSS to identify a network KPI deterioration in near real time

The embodiments herein provide a method for reducing KPI data. The disclosed technique is used to reduce insignificant KPI data generated by network entities (NEs) such as Radio Access Network (RAN) or element management system (EMS)/network management system (NMS). Further, the method includes determining a threshold value for each KPI data to determine significance of the KPI data and uses the threshold value to reduce the KPI data in a file. Further, the method includes utilizing a network bandwidth (e.g., control plane traffic load) and a storage space in the EMS/operations support system (OSS) efficiently and helps operators of the EMS/OSS to identify a network KPI deterioration in near real time

Resource provider specifications, characterizing computing resources of computing resource providers, are received. The reachability of each IP address included in the received specification is determined. An agent is deployed that is operable to determine the value of each of a set of metrics in the environment of the host at which the agent is deployed. The agent determines the value of each metric of the set of metrics in the environment of the relevant host, and communicates the determined values to one or more computing devices that validate whether the resources characterized by the communicated values are sufficient to provide the performance characterized by the received specification and that each ISP router complies with a predetermined policy. For each computing resource provider validated and determined to comprise an ISP router compliant with policy, the specified computing resources are added to a pool of resources for cloud computing.

Resource provider specifications, characterizing computing resources of computing resource providers, are received. The reachability of each IP address included in the received specification is determined. An agent is deployed that is operable to determine the value of each of a set of metrics in the environment of the host at which the agent is deployed. The agent determines the value of each metric of the set of metrics in the environment of the relevant host, and communicates the determined values to one or more computing devices that validate whether the resources characterized by the communicated values are sufficient to provide the performance characterized by the received specification and that each ISP router complies with a predetermined policy. For each computing resource provider validated and determined to comprise an ISP router compliant with policy, the specified computing resources are added to a pool of resources for cloud computing.