15 results about "Network performance degradation" patented technology

Disclosed in the present invention is an improved deep learning model-based refrigeration unit fault detection method. The method uses an LOF algorithm to remove outliers from a fault dataset, and then uses ADASYN technology to solve the problem of data imbalance. In addition, in respect of the problems that existing refrigeration unit fault diagnosis deep learning models are prone to network degradation, and refrigeration unit fault diagnosis models generally lack weighting critical features, the present invention first alleviate, on the basis of ResNet, the problem of network performance degradation which is prone to occur in deep neural network training processes, and then integrates a CBAM for capturing critical features in fault data, so as to improve the feature extraction capability of a network. Experimental results show that the LOF-ADASYN-ResNet-CBAM method provided by the present invention effectively diagnoses refrigeration unit faults.

Systems and methods herein are for at least one circuit that can determine that a network reference associated with a first network hardware is subject to a network performance degradation in a network, can cause suspension of traffic flow associated with the network reference, can save configuration for at least the network reference at a node associated with the first network hardware, and can cause the configuration to be deployed in a second network hardware so that the network reference that was previously in the first network hardware is provided from the second network hardware to resume the traffic flow.

The invention discloses a low-altitude communication network modeling method and device for a communication same-frequency interference scene, and relates to the technical field of unmanned aerial vehicle communication, and the method comprises the steps: building a structure layer model through employing a time-varying graph model based on a plurality of influence factors in a target low-altitude environment, describing physical communication reachability and link cost between the unmanned aerial vehicles and between the unmanned aerial vehicle and a ground base station under a given time resolution; a function layer model of the communication network is constructed based on the structure layer model, and link channel quality, path selection and target ground base station selection are described when all nodes adopt a unified frequency band for communication in the unmanned aerial vehicle ad hoc network communication process; in each time slot, determining a quantitative relationship between the structure attribute of each node and the interference intensity of the position where the node is located; and determining a quantitative relation between the interference intensity and the network performance degradation. According to the invention, identification of the interference area and prediction of task performance are realized, and systematicness and interpretability of performance evaluation are improved at the same time.

The invention relates to a mobility management method and device, communication equipment, a medium and a product, and relates to the technical field of communication. The method is applied to an SMF network element, and comprises the following steps: receiving ephemeris data sent by a UPF network element and meteorological data sent by an AF network element; determining a target heartbeat interval according to the deployment position of the SMF network element, ephemeris data and meteorological data; and sending the target heartbeat interval to the on-satellite UPF network element, so that the on-satellite UPF network element sends a heartbeat signal to the SMF network element after waiting for the target heartbeat interval. According to the technology provided by the invention, the unnecessary on-satellite UPF network element switching in a satellite-ground fusion network scene is reduced, the unnecessary network resource and energy waste is reduced, the signaling overhead and the satellite processing burden are reduced, and in addition, the situation that the network performance is reduced due to the UPF network element switching and the additional communication security risk are avoided.

The application discloses a kind of early warning method, device, medium and product of NFV network performance degradation, by the performance data and log data of the network element to be monitored in NFV network are collected, obtain the log amount statistical data of sub-log template;According to the all log template list in incremental log template monitoring configuration table and slice log quantity monitoring configuration table, the log amount statistical data is extracted, and log statistical data is obtained;According to the first matching rule of preset and incremental log template monitoring configuration table, determine the first matching template set;According to the template matching of first matching template set to log statistical data, and according to the index of the template matched in incremental log template monitoring configuration table, generate degradation early warning information.This application scheme can early warn before index degradation, improve early warning accuracy.

Techniques are described in which a network management system (NMS) is configured to determine a root cause of degraded network performance based on SLE metrics and the locations associated with network devices providing the SLE metrics. The NMS can determine service level experience (SLE) metrics associated with each client device on a network and location data for each client device of the plurality of client devices. The NMS can generate a time series of parameter vectors, where each parameter vector includes SLE metrics corresponding to each client device of the plurality of client devices. Each parameter vector is associated with the location of the client device corresponding to the SLE metrics. The NMS can determine, based on the time series of parameter vectors and associated locations, a root cause for a degradation in SLE metrics associated with the one or more of the client devices.

A method comprises: at a controller of a network, establishing a historical probability of success that an automated response, when executed on the network, will remediate an alarm event: performing a service test on the network to collect first path information from the network; after performing the service test, receiving from the network a report of the alarm event, and deploying the automated response to the network to remediate the alarm event; after the automated response is executed, repeating the service test on the network to collect second path information and a second test result that indicates pass or fail; determining whether a change from the first path information to the second path information represents a network degradation; and adjusting the historical probability of the success based on the second test result and whether the change represents the network degradation.

Methods and apparatuses for improving a performance of a network. A method in a first network function comprises obtaining, at an initial time to, a prediction of a performance degradation associated with at least one performance metric at a first time, t0+T, in the future; and responsive to obtaining the prediction, at each current time, t, from t0 to t0+T: selecting a first set of network functions, NFs, fi, wherein each network function in the first set is associated with a delay time, d(xi,t) for the NF to impact the network, wherein for each of the first set of NFs a first condition of d(xi,t)<t0+T−t is met; and transmitting an indication of the prediction to the first set of NFs.

The application discloses a visual tracking model construction method and device. When pruning a network, the method calculates L2 norms of each convolution channel of each selected convolution layer in a selected convolution layer set in a visual tracking network, and takes a predetermined proportion of convolution channels with the lowest L2 norms as a first pruning channel set. The method calculates L2 norms of each convolution channel of each unselected convolution layer in a residual module with the same down-sampling in the visual tracking network, and takes a predetermined proportion of convolution channels with the lowest L2 norms as a second pruning channel set of each residual module with the same down-sampling. The method calculates the intersection of the second pruning channel sets between the residual modules to obtain a third pruning channel set. The visual tracking network is pruned according to the first pruning channel set and the third pruning channel set. The application can reduce the performance decline of the visual tracking network caused by excessive sparseness, and balance the performance and efficiency of the visual tracking network.

The invention discloses a communication antenna power consumption management system and method based on optimization and beautification of an outer cover, and relates to the field of antenna power consumption management. A dual verification mechanism is formed through an initial power consumption mapping model established based on historical data and a post-installation power consumption mapping model established based on real-time vibration data; the influence of the outer cover design on the antenna performance can be predicted in advance, and the problem of abnormal power consumption caused by vibration can be accurately diagnosed after installation; the traditional one-time design is converted into a dynamic optimization process through an iterative adjustment mechanism, so that the matching precision of the outer cover and the antenna system is remarkably improved; the dilemma of excessive design or insufficient maintenance in a traditional scheme is solved through a damping gasket adding strategy and a hierarchical processing mode of component replacement; in addition, through real-time correlation modeling based on vibration intensity and power consumption, the risk of network performance degradation caused by outer cover installation is greatly reduced, and meanwhile the on-site debugging frequency and the operation and maintenance cost are reduced.

The invention discloses a satellite network service path dynamic recovery method based on damaged state evaluation, and mainly solves the problem of low task transmission success rate of the existing large-scale satellite network in a complex scene that multiple nodes and multiple links simultaneously fail. The method comprises the following implementation steps of: 1) acquiring node and link state information and service characteristics of a satellite network, and constructing a network topology mapping model; 2) constructing a network damage state evaluation model, and obtaining a network performance degradation index; 3) building a path priority decision model and training to obtain an intelligent agent; 4) outputting the priority probability of the alternative paths in combination with the network state and the service information, sorting the alternative paths according to an agent decision result, and configuring a forwarding table item; and 5) automatically switching to the optimal path when the link fails, and triggering the centralized controller to recompute the path if the switching fails. Efficient service path recovery can be realized, the task transmission success rate is remarkably improved, and the high-performance requirement of the network is ensured.

In one implementation, a device identifies a node in a network that is not running a particular type of network metric monitoring agent. The device requests network metrics from the node collected using a network metric monitoring approach that differs from that of the particular type of network metric monitoring agent. The device obtaining, by the device, the network metrics collected by the node. The device combines the network metrics collected by the node with results from an agent of the particular type of network monitoring agent, to identify a root cause of a performance degradation in the network.

The invention provides a network optimization method and device, electronic equipment and a computer readable storage medium, and relates to the technical field of network optimization. The network optimization method comprises the following steps: coding a topological structure of a network into a topological embedded vector; wherein the topology embedding vector is a mathematical representation used for representing the overall structural characteristics of the network; generating a network parameter adjustment action through a decision optimization model at least based on the real-time performance data and the topology embedding vector; and optimizing the network based on the network parameter adjustment action. A network structure is efficiently coded through a topology embedded vector, the processing complexity of high-dimensional topology information is reduced, a decision model is driven by combining real-time performance data, adjustment of network parameters is achieved, and the network performance degradation recovery time is effectively shortened. And on the basis of a closed-loop control mechanism of the decision optimization model, an optimal or suboptimal network parameter adjustment strategy can be continuously output without manual intervention, so that the operation and maintenance cost is reduced, and the intelligent level of network management is improved.

The invention provides a network detection method and computing equipment, and the method comprises the steps: carrying out the in-band detection and out-of-band detection of a message of a target service flow at the same time during the network detection, thereby obtaining the in-band detection information and out-of-band detection information of the message of the target service flow; the number information and / or time delay information of the messages can be obtained through the in-band detection information, and the paths of the messages can be obtained through the out-of-band detection information, so that the network detection efficiency is improved, and the efficiency of positioning network faults and analyzing network performance degradation is improved. In addition, the out-of-band detection information in the application comprises the forwarding hop count when the message of the target service flow passes through the forwarding node, so that the network analysis node can improve the efficiency of analyzing the transmission path of the target service flow.

The invention provides a method for detecting IPv6 connectivity of a network layer of an application system in the power industry and electronic equipment. Specifically, the method comprises the following steps: acquiring a network address prefix by monitoring an IPv6 routing notification message, constructing a physical connection topology of power equipment according to a link layer discovery protocol, and generating a unique equipment fingerprint for each node; constructing a simulation message containing an IPv6 header according to a power service protocol, and testing the end-to-end data transmission delay and packet loss rate of a target service by using the simulation message; determining a network performance state based on at least one of the data transmission time delay and the packet loss rate; and in response to determining that the network performance is abnormal, matching and executing a preset processing scheme according to the type of the abnormality. According to the technical scheme, the problem of asset management disorder caused by frequent change of massive terminal addresses is solved; the risk of misoperation or rejection of operation of the protection device caused by network performance degradation is reduced, and zero misjudgment of power production is ensured.