29 results about "Network performance degradation" patented technology

The invention provides a digital twinborn-based park pipe network monitoring and early warning method and system, and relates to the technical field of pipe network monitoring and early warning, and the method comprises the steps: constructing a park pipe network domain knowledge graph, collecting real-time monitoring data and historical operation and maintenance data, and forming a knowledge enhanced pipe network data set; extracting pipe network performance attenuation characteristics by using a bidirectional gating recurrent neural network, and deeply fusing the pipe network performance attenuation characteristics with expert empirical rules in the domain knowledge graph to construct a performance attenuation analysis model; a performance degradation curve and remaining useful life are calculated based on the model, potential fault risks are predicted, and maintenance suggestions are generated. According to the invention, precise evaluation of pipe network performance degradation, early warning of fault risks and intelligent generation of maintenance suggestions are realized, and the intelligent level and reliability of operation and maintenance of the park pipe network are improved.

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.

The invention discloses an optical transmission cross-domain service real-time configuration method, an optical transmission cross-domain service real-time configuration device and a computer program product, and aims to realize unified planning and dynamic output of cross-domain service end-to-end service quality targets by constructing a multi-domain quality strategy fusion model and integrating service quality strategies and resource states of different network domains. By collecting performance data of each domain in real time and combining with a time sequence analysis algorithm, the network performance degradation trend can be accurately identified; based on quality propagation path analysis of a cross-domain service topological relation graph, a quality degradation root can be quickly positioned, the influence range of the quality degradation root can be quantified, and the service quality stability of a key service in a resource limited scene is ensured; by establishing a cross-domain service quality mapping system, heterogeneous network performance parameters are mapped to end-to-end service quality indexes, and the cross-domain collaborative operation and maintenance efficiency is greatly improved. A continuous iterative optimization mechanism driven by reinforcement learning is adopted, adaptive adjustment of network resource allocation and a routing strategy is realized, and a cross-domain service quality dynamic optimization closed loop is formed.

The invention discloses a network path switching method and electronic equipment, and relates to the technical field of data transmission. Network paths of at least two different protocols are configured between a main station and an auxiliary station, in combination with storage performance parameters and network performance parameters of a plurality of network paths, a future performance change trend is predicted by using a preset learning algorithm, and then the weight of each performance parameter is dynamically adjusted. Therefore, comprehensive scoring and optimal path selection of different network paths are realized, a better network path can be predicted and selected in advance before the network performance is reduced or a fault occurs, intelligent rapid switching among different protocol paths is realized, the technical problem of remote replication interruption caused by a single path fault is solved, and the network performance is improved. The technical effects of guaranteeing the continuity and consistency of data transmission and improving the reliability and efficiency of the remote replication network are achieved.

The invention discloses a self-adaptive virtual sniffing system based on a mirror image warehouse and a deployment method, and relates to the technical field of network space sniffing behavior perception, the self-adaptive virtual sniffing system comprises an information acquisition module, a framework deployment module, a self-adaptive initial module, a detection module, a batch deployment module and a state switching module, the method has the advantages that through mirroring packaging and one-key scheduling deployment, rapid batch deployment of sniffing equipment is achieved, the deployment period is greatly shortened, a script is automatically initialized to adapt to a multi-network environment, the manual configuration link is eliminated, the deployment error risk is reduced, elastic expansion from a single node to a large-scale network is supported, and the deployment efficiency is improved. Through cooperation of active scanning and passive interception, multi-dimensional information such as network topology, service and routing is covered, configuration is completed through self-learning of network parameters, manual operation and maintenance frequency and cost are reduced, detection intensity is adjusted according to real-time flow, and network performance reduction caused by sniffing task overload is avoided.

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.

A system (100) and method (200, 300, 400) for optimizing minimization drive test (MDT) in wireless communication networks is disclosed. The system (100) includes user equipments (UEs) (102) and a base station (104). The UEs (102) are configured to monitor network parameters as well as local parameters based on a first set of predefined criteria, compare the parameters to their respective second set of predefined criteria and transmit an MDT measurement need indication, based on the comparison, to the base station (104). Herein, the comparison is indicative of degraded network performance and a UE (102) ready for performing a drive test. The base station (104) configures one or more MDT logged measurement configurations for the UEs (102), non-selectively, selectively or dynamically, based on network performance parameters that the base station need to monitor. Aim of the present disclosure is targeted and dynamic efficient MDT data collection, reducing unnecessary measurements, addressing the limitations of traditional MDT frameworks.

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.

A method for reducing communication network performance degradation using in-band telemetry data includes (a) adding in-band telemetry data to one or more data structures flowing through a network element of a communication network, (b) updating a telemetry table according to first telemetry data that is based on the in-band telemetry data, (c) selecting one of a plurality of paths in the communication network at least partially based on data in the telemetry table, and (d) causing a data structure to be routed through the selected one of the plurality of paths in the communication network.

In a statistical approach to monitoring network performance, the type and extent of network performance degradation, and the concomitant degradation to end-user service quality, e.g., as quantified by QoE for video traffic, are quantified based solely on transport layer data. The technique combines measured network transport layer data and perceived end-user service quality under various types and severities of network performance degradations. Statistical models of each are paired. The methodology estimates service quality degradation in an operating network solely from transport layer metrics, which are available to the Network Management system, even for encrypted traffic flows, such as the QUIC protocol. The method also indicates the likely root cause of the degradation, which enables the Network Management system to automatically apply corrective actions.

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.

A method performed by abase station for handling network degradation in a wireless communications network is provided. The base station receives (201, IS1) from a first UE experiencing a network degradation, a determined type of the network degradation together with an estimated first Timing Advance, TA1, value. Based on the received TA1 value, the base station calculates (202, 1) a location, location X, associated with the network degradation. When a first location, location L1, of a second UE is at a distance from the location X that is below a second threshold, the base station decides (204, 2) a first decision to perform an action to restrain degrading influence from the location X. The first decision is based on the determined type of the network degradation. The base station sends (205, 2) to the second UE, the first decision to perform an action to restrain degrading influence from the location X.

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.

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.

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.

Systems and methods described herein enable a runtime orchestration platform to deploy network configurations without degrading network performance or causing a network outage. According to one implementation, a network device receives a linked descriptor for deploying a network configuration in a network. The linked descriptor includes a first artifact associated with the network configuration, a unique artifact identifier for the first artifact, a network level identifier for the first artifact, and a link identifier of one or more second artifacts that are associated with the network configuration. The link identifier corresponds to a different network level than the network level identifier for the first artifact. The network device determines, based on information in the linked descriptor, if deployment of the first artifact will cause performance degradation in the network and prevents deployment of the network configuration when deployment of the first artifact will cause performance degradation in the network.

Proposed systems and methods relate to at least one circuit that can determine that a network connection identifier associated with a first network hardware is affected by a network performance degradation in a network; cause a pausing of traffic flow associated with the network connection identifier; store a configuration for at least the network connection identifier at a node associated with the first network hardware; and cause the configuration to be deployed in a second network hardware such that the network connection identifier previously in the first network hardware is provided by the second network hardware to resume traffic flow.

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 provides a policy adjustment method and device, network equipment and a medium, and is applied to the technical field of wireless. The method comprises the following steps: executing network strategy adjustment under the condition that a first condition is met; the network strategy adjustment comprises network resource configuration adjustment and / or terminal service adjustment; wherein the first condition comprises one or more of the following items: determining that a first cell corresponding to the first network equipment is about to enter a target network state; obtaining an early warning notification sent by the second network equipment; the second network device is a network device corresponding to an adjacent cell of the first cell. By adopting the method, under the condition that the first network equipment judges that the corresponding first cell is about to enter the target network state and / or obtains the early warning notification sent by the second network equipment corresponding to the adjacent cell, the network strategy adjustment is executed, so that the network strategy adjustment can be executed before the cell enters the target network state, and the network strategy adjustment is executed before the cell enters the target network state. And the problems of network performance reduction and unstable communication quality during meeting are avoided.

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 embodiment of the invention discloses a processing method and device for neighbor cell missed configuration, electronic equipment and a storage medium. The method comprises the steps that whether neighbor cell missed configuration exists in a service cell of terminal equipment or not is detected; and under the condition of detecting that the neighbor cell missed configuration exists, reducing the switching priority of the missed configuration neighbor cell of the service cell so as to reduce the probability that the missed configuration neighbor cell is identified as a target cell in the cell switching process. By implementing the embodiment of the invention, the problems of network performance reduction and terminal equipment power consumption increase caused by neighbor cell missed configuration can be solved from the terminal side, the user communication performance experience is improved, and the terminal power consumption in an abnormal scene is 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.