Abstract: A management device obtains network data of a target network. The network data includes a network topology of the target network and device information of a plurality of network devices in the target network, and the device information includes one or more of interface configuration information, protocol configuration information, and service configuration information. The management device extracts a plurality of knowledge graph triplets from the network data. Each knowledge graph triplet includes two network entities and a relationship between the two network entities. The type of the network entity may be a network device, an interface, a protocol, or a service. The management device generates a knowledge graph of the target network based on the plurality of knowledge graph triplets. The knowledge graph of the target network can be used to visualize the network data.

Abstract: An analysis device obtains connection states of a testing terminal pair that respectively correspond to a plurality of unit moments in a first historical time segment. The testing terminal pair includes a first terminal and a second terminal, the first historical time segment is a time segment before a current time, the first historical time segment includes M consecutive unit moments, and M is a natural number greater than or equal to 2. The analysis device determines, based on the connection states of the testing terminal pair that respectively correspond to the plurality of unit moments in the first historical time segment, a connection state that is of the testing terminal pair and that corresponds to at least one unit moment in a future time segment.

Abstract: In a fault root cause determining method, a management device obtains a fault feature of a target network in which a fault occurs. The fault feature is determined based on a knowledge graph of the target network in which the fault occurs. The knowledge graph includes a network entity and an abnormal event entity. The abnormal event entity is connected to an abnormal network entity. The abnormal network entity is a network entity that generates an abnormal event in the target network. The abnormal event entity is configured to indicate the abnormal event generated by the abnormal network entity. A type of the network entity is a network device, an interface, a protocol, or a service. The management device determines a fault root cause of the target network based on the fault feature.

Abstract: Example electric appliance identification methods and apparatuses are provided. One example method includes obtaining, by a power line communication (PLC) device, a first noise signal in a circuit. The PLC device can then obtain first data based on the first noise signal, where the first data is used to describe a time-frequency feature of the first noise signal. The PLC device can then obtain, based on an electric appliance identification model and the first data, an electric appliance identification result corresponding to the first noise signal, where the electric appliance identification model is obtained based on a signal including a second noise signal of at least one known electric appliance.

Abstract: A driver loading method and a server, where when receiving a service request, the server determines a first global index and a first global virtual function (VF) identifier corresponding to a first function description of a designated function included in the service request, determines a virtual machine (VM) corresponding to the service request, associates the first global VF identifier with the VM, allocates a first local index on the VM to the designated function, creates a correspondence between the first local index and the first function description, and sends the correspondence to the VM. The VM loads, according to the correspondence, a driver of the designated function for a first VF corresponding to the first global VF identifier. According to the foregoing method, different drivers can be loaded for VFs that have different functions and that are virtualized by a Peripheral Component Interconnect Express (PCIe) device.

Abstract: An Internet Protocol Security (IPsec) acceleration method includes generating, by an Internet Key Exchange (IKE) device, an IKE link establishment session packet according to an IPSec configuration parameter and a security policy in a security policy database (SPD), sending, by the IKE device, the IKE link establishment session packet to a peer device, establishing a security association (SA) with the peer device, and sending, by the IKE module, the SA to a data forwarding device, where the IKE device and the data forwarding device are discrete devices.

Abstract: A network element health status detection method and device, where the method includes: determining sampled data of at least one key performance indicator (KPI) of a target network element in a first time window; obtaining a fluctuation score of any KPI in the at least one KPI according to sampled data of the any KPI in the first time window and a steady state value of the any KPI; and determining a health status of the target network element based on a fluctuation score of each KPI. Therefore, a network element health status is determined using single-point performance data of a network element and performance data in a network element time window.

Abstract: method data collection method includes: collecting, by a data collection device, performance indicator data of a target device based on a collection periodicity; detecting change amplitude of the collected performance indicator data that is in a change detection window, where the change detection window includes multiple collection periodicities; and when it is detected that change amplitude of the performance indicator data that is in the change detection window is greater than or equal to a change detection threshold, sending the performance indicator data that is in the change detection window to a data analysis device.

Abstract: 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.

Abstract: An Internet Protocol Security (IPSec) acceleration method, an apparatus, and a system, where the method includes generating, by an Internet Key Exchange (IKE) device, an IKE link establishment session packet according to an IPSec configuration parameter and a security policy in a security policy database (SPD), sending, by the IKE device, the IKE link establishment session packet to a peer device, establishing a security association (SA) with the peer device, and sending, by the IKE module, the SA to a data forwarding device. The IKE device and the data forwarding device are discrete devices. In this way, the IKE device and the data forwarding device can be deployed in different devices in order to increase the IPSec speed.

Abstract: A method and an apparatus for locating a fault cause are provided. The method includes: obtaining parameter values of a plurality of running parameters and a parameter value of a fault parameter in preset duration before a wavelength division multiplexing board device is faulty; determining a correlation between each of the plurality of running parameters and the fault parameter; and determining at least one target parameter from the plurality of running parameters based on a value of the correlation, where a correlation between each of the at least one target parameter and the fault parameter is greater than a correlation between the fault parameter and a running parameter other than the at least one target parameter in the plurality of running parameters. Accuracy of locating a fault cause can be improved in the embodiments of the present disclosure.

Abstract: Embodiments of this application provide a method and an apparatus for obtaining optical distribution network (ODN) logical topology information, a device, and a storage medium. The method includes: obtaining identification information of each first ONU that is connected to a first passive optical network (PON) port and whose optical path changes and feature data of the first ONU in a first time window, where the feature data includes receive optical power and/or an alarm event; obtaining, based on the feature data of each first ONU, a feature vector corresponding to each first ONU; and performing cluster analysis on the feature vector corresponding to each first ONU, to obtain topology information corresponding to the first PON port. ONU topology information is obtained by analyzing an ONU feature.

Abstract: In a fault root cause determining method, a management device obtains a fault feature of a target network in which a fault occurs. The fault feature is determined based on a knowledge graph of the target network in which the fault occurs. The knowledge graph includes a network entity and an abnormal event entity. The abnormal event entity is connected to an abnormal network entity. The abnormal network entity is a network entity that generates an abnormal event in the target network. The abnormal event entity is configured to indicate the abnormal event generated by the abnormal network entity. A type of the network entity is a network device, an interface, a protocol, or a service. The management device determines a fault root cause of the target network based on the fault feature.

Abstract: A virtual network function (VNF) audit method and apparatus, used to audit a VNF generated by a platform that includes an authentication and authorization component, a service component, and a virtualized infrastructure. The method includes receiving an event reported by the authentication and authorization component, receiving an event reported by the service component, and receiving an event reported by the virtualized infrastructure, obtaining an event occurrence sequence of each VNF according to all received events, and auditing the event occurrence sequence of each VNF to obtain an audit result of the VNF. According to the method, the events that are distributed in different components are integrated into one event occurrence sequence in order to visually and quickly detect a malicious VNF generated by bypassing a component, and more comprehensively detect the malicious VNF, thereby reducing a missed detection rate of a VNF operation audit.

Abstract: A service deployment method and a network functions acceleration platform are provided. The method includes: when an FPGA is powered on, loading, by the FPGA, an FPGA framework file, so that the FPGA includes M partial reconfigurable PR areas, a configuration module, and a data flow forwarding module; when receiving a service configuration instruction, generating, by a physical machine, a VM, and selecting at least one PR area from the M PR areas to establish a correspondence with the VM; performing, by a configuration module, service resource configuration on the selected PR area according to a PR configuration resource, so that the selected PR area has a service processing capability; adding, by the configuration module, a forwarding entry corresponding to the PR area in a forwarding flow table, so that the data flow forwarding module forwards a received network packet to the corresponding PR area.

Abstract: A method and an apparatus for determining a status of a network device are provided. A warning analysis device obtains a plurality of pieces of target key performance indicator KPI data of the network device within preset duration, processes the plurality of pieces of target KPI data to generate an element, forms the feature vector by using generated elements corresponding to the plurality of pieces of feature information, and analyzes the feature vector based on a preset warning analysis model, to determine the status of the network device. In this way, the status of the network device is determined by analyzing a plurality of pieces of target KPI data within a period of time, instead of by using only data at a moment. This improves the accuracy of determining the network device, so as to reduce an omission of a warning.

Abstract: A method and an apparatus for locating a fault cause are provided. The method includes: obtaining parameter values of a plurality of running parameters and a parameter value of a fault parameter in preset duration before a wavelength division multiplexing board device is faulty; determining a correlation between each of the plurality of running parameters and the fault parameter; and determining at least one target parameter from the plurality of running parameters based on a value of the correlation, where a correlation between each of the at least one target parameter and the fault parameter is greater than a correlation between the fault parameter and a running parameter other than the at least one target parameter in the plurality of running parameters. Accuracy of locating a fault cause can be improved in the embodiments of the present invention.

Abstract: A filler composition includes fully or partially oxidized graphene or boron nitride nano sheets and a thermal setting polymer matrix. The fully or partially oxidized graphene or boron nitride nano sheets are embedded within the polymer matrix, and the filler composition: (i) has a thermal conductivity greater than or equal to 3 W/mK; (ii) has an electric breakdown voltage greater than or equal to 10 kV/mm; (iii) is pourable; and (iv) is located between an electromagnetic wire of an electromagnetic coil. The filler composition can also include the nano sheets bound to the surfaces of a plurality of co-particles that can increase the thermal conductivity through the filler. The polymer matrix can be a polyester imide, a polyamide-imide, polysulfones, a polyimide, a polyether ketone, or combinations thereof.

Abstract: A coating composition comprises: exfoliated boron nitride nano sheets (BNNS); and a thermoplastic polymer matrix, wherein the coating composition: (i) has a thermal conductivity greater than or equal to 1.0 W/mK; (ii) has an electric breakdown voltage higher than or equal to 20 kV/mm; and (iii) is pliable. The coating composition can also include the exfoliated BNNS bound to the surfaces of a plurality of co-particles that aligns a plane of the BNNS not parallel to a longitudinal axis of an electromagnetic wire. The non-parallel alignment increases thermal conductivity through the coating. The polymer matrix can be a polyester imide, a polyamide-imide, polysulfones, a polyimide, a polyether ketone, or combinations thereof. Methods of forming the coating include forming the exfoliated BNNS; combining a first monomer and a second monomer to form the thermoplastic polymer matrix; and causing or allowing the exfoliated BNNS to be dispersed throughout the thermoplastic polymer matrix.

Abstract: A service deployment method and a network functions acceleration platform are provided. The method includes: when an FPGA is powered on, loading, by the FPGA, an FPGA framework file, so that the FPGA includes M partial reconfigurable PR areas, a configuration module, and a data flow forwarding module; when receiving a service configuration instruction, generating, by a physical machine, a VM, and selecting at least one PR area from the M PR areas to establish a correspondence with the VM; performing, by a configuration module, service resource configuration on the selected PR area according to a PR configuration resource, so that the selected PR area has a service processing capability; adding, by the configuration module, a forwarding entry corresponding to the PR area in a forwarding flow table, so that the data flow forwarding module forwards a received network packet to the corresponding PR area.