2131 results about "Network service" patented technology

The invention belongs to the technical field of data transmission, and particularly relates to an SD-WAN low-delay data transmission method and system based on edge computing, a plurality of edge computing nodes are deployed in an SD-WAN architecture, and the edge computing nodes are distributed on a network edge side, close to terminal equipment or a branch mechanism and have data preprocessing and local computing capabilities; monitoring network state parameters of each link in the SD-WAN in real time, wherein the network state parameters comprise delay, bandwidth, packet loss rate and computing resource utilization rate of edge nodes; routing to-be-transmitted data to the target edge node, and if the node has local processing capability, executing data preprocessing or caching operation; otherwise, forwarding the data to an adjacent edge node or a cloud data center; a distributed cache strategy is adopted, when network congestion is detected according to data access frequency and timeliness requirements, non-real-time data is temporarily stored in a local cache, and asynchronous transmission is executed after a link is recovered, so that the method has the effect of providing higher-quality and more reliable network service for a user.

The invention relates to the field of computing power network services, and provides a computing power network ecological digital simulator based on multi-agent self-organizing interaction. Comprising a multi-agent self-organizing interaction module, a resource modeling and dynamic allocation module, a service scheduling and collaborative optimization module, a risk management and emergency response module and a strategy evaluation and optimization regulation module. The digital simulator constructs a refined and virtualized computing network model through multi-agent self-organization interaction, can dynamically reproduce resource interaction behaviors in a complex environment, assesses the effectiveness of a scheduling strategy, and optimizes the adaptive capacity of a system in a high-dynamic environment, thereby providing a scientific basis for intelligent decision-making of computing network ecological operation.

The invention relates to the technical field of communication data analysis, and discloses a communication network service health degree analysis method, system and device and a medium, and the method comprises the steps: obtaining real-time link state data, carrying out the quantitative analysis, and judging whether the link jitter exceeds a preset threshold value or not; when abnormality is detected, abnormal points can be positioned and the influence range of the abnormal points can be analyzed, so that the influence degree of nodes on the abnormal diffusion path can be identified; calculating a service quality index change value, and determining a starting point and a diffusion direction of chain degradation; by analyzing historical traffic data of the key nodes, a service traffic change trend and traffic dense area distribution characteristics are obtained. According to the method, the bandwidth allocation strategy is dynamically optimized, the bandwidth resources at the junction are reconfigured, and the regional service health degree is evaluated. And if the degradation is not effectively controlled, monitoring and detection mechanism parameters can be adaptively adjusted, and continuous analysis and control of link abnormity are realized, so that the network performance and the service quality are effectively improved.

Systems and methods for managing resources across a global and / or cloud network. In particular, systems and methods for mitigating issues related to providing services while resources are offline (or may potentially go offline). For example, the systems and methods may mitigate issues related to providing services while resources are offline (or may potentially go offline) by monitoring network services at an aggregate level.

Systems and methods for managing resources across a global and / or cloud network. In particular, systems and methods for mitigating issues related to providing services while resources are offline (or may potentially go offline). For example, the systems and methods may mitigate issues related to providing services while resources are offline (or may potentially go offline) by monitoring network services at an aggregate level.

A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The tunnel device is selected based on an attribute, such as IP Geolocation. A tunnel bank server stores a list of available tunnels that may be used, associated with values of various attribute types. The tunnel devices initiate communication with the tunnel bank server, and stays connected to it, for allowing a communication session initiated by the tunnel bank server. Upon receiving a request from a client to a content and for specific attribute types and values, a tunnel is selected by the tunnel bank server, and is used as a tunnel for retrieving the required content from the web server, using standard protocol such as SOCKS, WebSocket or HTTP Proxy. The client only communicates with a super proxy server that manages the content fetching scheme.

Technologies for configuring flexible hardware-accelerated rules in a Service Function Chaining (SFC) architecture are described. A DPU includes an acceleration hardware engine to provide a single accelerated data plane, and a processing device that generates a first virtual bridge and a second virtual bridge. The first virtual bridge is controlled by a first network service hosted on the DPU and has a first set of one or more network rules. The second virtual bridge has a second set of one or more user-defined network rules. The processing device generates a combined set of network rules based on the first set of one or more network rules and the second set of one or more user-defined network rules. The acceleration hardware engine processes network traffic data in the single accelerated data plane using the combined set of network rules.

A system and method for implementing a non-interactive and automatic way of facilitating user authentication with a proxy server is disclosed. At least, the technique disclosed includes determining a request to access a web server by a Hypertext Transfer Protocol (HTTP) agent on a client device, retrieving a proxy configuration file from a Uniform Resource Locator (URL) assigned to the client device, determining, using the proxy configuration file, a host name and a port number of a proxy server corresponding to the request, and routing, from the HTTP agent to the proxy server, the request using the host name and the port number of the proxy server, the proxy server configured to look up a user mapping table using a set of proxy connection information and uniquely identify a user of the client device based on the look up, the set of proxy connection information including a combination of a public Internet Protocol (IP) address of the client device, the host name of the proxy server, and the port number of the proxy server.

The invention provides a business data sharing fusion system and method based on a trusted data space, and relates to the technical field of data sharing. According to the method, sharing and fusion of service data are realized by constructing a trusted data space infrastructure. The method comprises the following steps: firstly, establishing a node path planning model for priority evaluation and data matching; then forming a model collaborative deployment scheme to distribute tasks to edge nodes; then perception scoring and resource scheduling are carried out on the tasks, and a multi-task concurrent transmission scheme is generated; constructing a multi-domain network service level protocol evaluation model to perform service decomposition and business collaborative management; and finally carrying out heterogeneous processing and data fusion on the business data. According to the method, the problems of information islands, multi-source heterogeneous data fusion and cross-domain business collaboration among regional mechanisms are solved, and the system performance and the user experience are improved.

A system for detecting service interruptions in a cable broadband network using telemetry-based anomaly detection, wherein the system comprises the following: a telemetry acquisition unit configured to acquire multi-parameter telemetry data from heterogeneous broadband infrastructure elements, including cable modems, amplifiers, optical nodes and cable modem termination systems (CMTS), wherein the telemetry data includes the signal-to-noise ratio, modulation error ratio, forward error correction counter, power levels and latency statistics; a preprocessing and harmonization module that is operationally coupled with the telemetry acquisition unit, wherein the module is configured to normalize heterogeneous telemetry streams by adjusting sampling rates, synchronizing timestamps, interpolating missing data, and filtering out false outliers; an anomaly detection unit that is communicatively connected to the preprocessing and harmonization module, wherein the unit comprises a hybrid detection framework with statistical prediction models and machine learning models, wherein the statistical prediction models include ARIMA or Holt-Winters models to predict the expected telemetry behavior and the machine learning models include recurrent neural networks and autoencoders trained on historical telemetry; an ensemble evaluation subsystem within the anomaly detection unit, configured to combine the outputs of the statistical prediction models and the machine learning models to generate anomaly probability evaluations with adaptive confidence intervals; an interruption classification module configured to receive anomaly probability values ​​and correlate anomalies across multiple devices, geographic clusters, and time windows, wherein the interruption classification module differentiates between transient anomalies and service-impairing interruptions based on a multidimensional correlation; and an alerting interface configured to transmit outage alerts with severity, root cause metadata, and geolocation to a network management system so that the operator can intervene.

Technologies for creating an optimized and accelerated network pipeline using a network pipeline abstraction layer (NPAL) for policy-based routing (PBR) over Service Function Chaining (SFC) are described. A DPU includes acceleration hardware engine to provide a single accelerated data plane. A processing device can generate a first virtual bridge and a second virtual bridge, the first virtual bridge to be controlled by a first network service hosted on the DPU and having a set of one or more network rules, and the second virtual bridge having a policy-based routing policy (PBR policy). The processing device can add the virtual port between the first virtual bridge and the second virtual bridge. The acceleration hardware engine, in the single accelerated data plane, can route network traffic data using the PBR policy and process the network traffic data using the set of one or more network rules.

The invention discloses an Internet of Vehicles network selection and switching decision system supporting access of multiple operators. According to the method and the device, the timeliness and the continuity of network switching are remarkably improved through prediction and planning in advance. The module depends on a trajectory-network matching prediction sub-module, combines a vehicle navigation trajectory and a global digital twinborn model, identifies a base station coverage area in a future driving path and the network service quality of each operator in advance, and avoids the lag problem that switching is triggered only after signals are weakened in traditional passive switching. The pre-switching resource reservation sub-module further sends a resource request to a target operator base station and confirms reservation before the vehicle enters a new road section, ensures that resources such as bandwidth and time slot required during switching are in place, reduces switching failure or interruption caused by resource competition, avoids common communication interruption after signal sudden drop in traditional switching, and improves the switching efficiency. And continuous transmission of key businesses such as automatic driving control instructions and real-time road conditions is ensured.

The invention provides a refrigerating machine room control strategy optimization method and system and a network server. The refrigerating machine room control strategy optimization method comprises the following steps: acquiring operation data and environment data of each device and system of a refrigerating machine room to form a training set; the operation data comprises historical operation data and real-time operation data. Configuring equipment boundary conditions, and establishing a prediction model of the refrigerating machine room. And regularly updating the training set, and updating the prediction model according to the updated training set. And according to the updated prediction model, generating a plurality of optimized operation strategies of the refrigerating machine room, wherein the optimized operation strategies comprise the optimized operation strategy with the optimal energy efficiency, the optimized operation strategy without switching the startup equipment and the optimized operation strategy with the least operation equipment. And the operation strategy of the refrigerating machine room is adjusted according to the optimized operation strategy. According to the refrigerating machine room control strategy optimization method and system and the network server, the operation efficiency and the operation effect of the refrigerating machine room can be improved.

Various aspects of the present disclosure relate to a UE that is connected to a visited network requests a network service from the visited network. The service request is rejected, and the UE and the visited network communicate rejection reports for the service rejection to the home network of the UE. Further, the home network considers received service rejection information from the UE and / or the visited network to provide configuration of preferred visited network and / or access technology combinations to the UE.

Systems and methods for managing resources across a global and / or cloud network. In particular, systems and methods for mitigating issues related to providing services while resources are off-line (or may potentially go off-line). For example, the systems and methods may mitigate issues related to providing services while resources are off-line (or may potentially go off-line) by monitoring network services at an aggregate level.

The invention relates to the technical field of electric power system communication, in particular to an electric power 5G network service quality monitoring method and system and a storage medium, and the method comprises the steps: responding to a protocol data unit session establishment request signaling, and obtaining signaling plane data and data plane performance data through a signaling plane probe and a data plane probe; associating the signaling plane data with the data plane performance data through the service quality flow identifier and the timestamp to generate a multi-dimensional spatial-temporal characteristic matrix; based on the multi-dimensional spatio-temporal characteristic matrix, a network quality prediction score is obtained through dynamic spatio-temporal causality graph network prediction; and when the network quality prediction score exceeds a preset score threshold, establishing a network resource configuration optimization model to obtain an optimal network resource configuration strategy. According to the method, the signaling plane data and the data plane performance data are subjected to correlation analysis, and the network quality is predicted by using the dynamic space-time causal graph network, so that the network resource configuration is optimized, and the service quality of the power 5G network is ensured.

The invention discloses a CPE router, a data transmission method and device, a medium and a product, and relates to the technical field of network communication and data transmission optimizing.According to the scheme, the method comprises the steps of collecting and preprocessing inlet flow and wireless channel data of the CPE router, extracting transmission urgency and a channel quality index, constructing a transmission decision model and outputting service priority classification; and meanwhile, a dynamic transmission strategy and an early warning mechanism are formulated in combination with a channel prediction model result, and network resource allocation is optimized. According to the scheme, accurate matching and intelligent scheduling of network resources are achieved by dynamically sensing the channel state and the service characteristics, key service transmission delay is effectively reduced, the throughput of high-priority data is improved, meanwhile, transmission stability in a complex environment is enhanced, data retransmission caused by channel fluctuation is reduced, and the transmission efficiency is improved. Smoother multi-service concurrent experience is provided for users, potential transmission risks are warned in advance, and network service quality and equipment operation reliability are guaranteed.

Technologies for configuring multiple virtual bridges and interface mappings in a Service Function Chaining (SFC) architecture are described. A DPU can include memory to store a configuration file specifying the virtual bridges and interface mappings, and a processing device operatively coupled to the memory. The processing device, according to the configuration file, generates a first virtual bridge and a second virtual bridge. The first virtual bridge is controlled by a first network service hosted on the DPU, and the second virtual bridge is controlled by a user-defined logic. The processing device adds add one or more host interfaces to the second virtual bridge, a first service interface to the first virtual bridge to operatively couple to the first network service, and one or more virtual ports between the first virtual bridge and the second virtual bridge.

A method for enabling a wireless communication device to access services provided by a Radio Access Network, a user equipment (UE), a base station (BS) and a non-transitory computer readable storage medium are provided. In the method, a discontinuous reception (DRX) cycle is configured with a DRX ON period for transmission of at least one of control information or data and a DRX OFF period during which the transmission is suspended, and specifically the DRX cycle is a specific DRX cycle having a non-integer duration. This can eliminate a mismatch between burst arrival interval and the DRX cycle to adapt the EXtended Reality (XR) / Cloud Gaming (CG) traffic, for example.

An artificial intelligence assistant analyzes network observations to generate regular expressions using an artificial intelligence model for network automation management pipelines that identify and resolve network issues. A method includes obtaining at least one instruction and information about a plurality of enterprise network assets and configuration of an enterprise network that includes the plurality of enterprise network assets and generating at least one regular expression using an artificial intelligence model based on context description of the at least one instruction and the information about the plurality of enterprise network assets and the configuration of the enterprise network. The method further includes generating at least one solution for configuring at least one network asset of the plurality of enterprise network assets based on the at least one regular expression and providing the at least one solution to cause a configuration change in the at least one network asset.

The invention discloses a location social network service recommendation method based on trajectory collaborative filtering and Mama. The method comprises the following steps: firstly, collecting service interaction data of a user in a location social network; carrying out representation modeling on the service interaction behavior based on static and dynamic joint representation learning, and generating a point-of-interest static representation embedding vector and a user interest signal embedding vector; constructing a service interaction behavior sequence modeling network based on a state space machine model Mamba, embedding and inputting a user interest signal into the network, modeling a user long and short term interest state transition mode field through the state space model, and outputting a prediction interest point matching embedding vector; and finally, optimizing the model through a minimized cross entropy loss function, generating a user interaction service recommendation list based on the normalized score matrix, and taking the first K interest points with the highest score as recommendation results. According to the method, a unified user long-term interest transfer mode field and a short-term interest response mode are constructed, and the problem of popularity bias of a recommendation system is relieved.

The invention provides a CORS service enhanced positioning method, system and device based on a reference station network and a medium, and the method comprises the steps: obtaining observation values from a plurality of reference stations in the reference station network, generating VRS differential data for a moving station at any position through a network RTK service by using each observation value, and enabling the moving station to carry out RTK positioning through the VRS differential data; obtaining an ionosphere delay residual error between the moving station and the VRS, which is obtained by the fixed integer ambiguity calculation of the moving station in the RTK positioning process, and correcting the ionosphere delay model according to the ionosphere delay residual error to obtain a regional ionosphere enhancement model; and a new VRS observation value is determined based on the regional ionosphere enhancement model, so that the moving station carries out positioning according to the new VRS observation value to obtain a final positioning position, and thus the positioning precision is enhanced.

The described embodiments set forth techniques for transferring cellular wireless service from a source wireless device to a target wireless device with multi-factor authentication and consent of a mobile network operator (MNO) account owner of a multi-user MNO account that includes one or more MNO account members. Terms and conditions for transfer of the cellular wireless service can be presented via a native operating system user interface of a wireless device of the MNO account owner. When the target wireless device belongs to an MNO account member, the MNO account owner wireless device facilitates transfer of the cellular wireless service by allowing the MNO account owner to review terms and conditions and provide one-time passcode authentication to the target wireless device. An original equipment manufacturer (OEM) cloud network service can be used for transfer of terms and conditions information and / or the one-time passcode.

The invention relates to an optical module health state prediction method and device, equipment and a medium. The method comprises the steps of collecting historical operation data of an optical module; preprocessing the historical operation data to obtain target historical operation data; according to historical data of each index in a plurality of indexes in the target historical operation data, calculating an occurrence probability of an optical module fault type corresponding to the index; calculating the fault probability of the optical module according to the occurrence probability of the optical module fault type corresponding to each index in the plurality of indexes; and predicting the health state of the optical module according to the fault probability of the optical module. Therefore, according to the technical scheme, the fault probability of the optical module is calculated by integrating the multiple indexes of the optical module, and then the health state of the optical module is predicted according to the fault probability of the optical module. Therefore, the health state of the optical module is accurately predicted, a user can find the problem of the optical module in time, the risk of network service interruption is effectively reduced, and the user experience is improved.

Techniques for adaptively adjusting retry limits and modulation and coding scheme (MCS) thresholds are provided. A first network device receives a traffic flow from a second network device via a wireless network. The first network devices analyzes the traffic flow to identify a network service associated with the traffic flow. The first network device examines one or more predefined network service policies to determine one or more characteristics of the network service. The first network device detects a network congestion within the wireless network. Responsive to detecting the network congestion, the first network device switches to a congestion management mode, which further comprises that the first network device determines one or more network transmission settings for the traffic flow based on the one or more characteristics, and communicates the one or more network transmission settings to the second network device.

Network services encode multimedia content, such as video, into multiple adaptive bitrate streams of encoded video and a separate trick play stream of encoded video to support trick play features. The trick play stream is encoded at a lower encoding bitrate and frame rate than each of the adaptive bitrate streams. The adaptive bitrate streams and the trick play stream are stored in the network services. During normal content streaming and playback, a client device downloads a selected one of the adaptive bitrate streams from network serviced for playback at the client device. To implement a trick play feature, the client device downloads the trick play stream from the network services for trick play playback.

A generative artificial intelligence (AI) system includes a generative AI model configured to generate outputs based on a training data set. The AI system additionally includes a secure data vault system. The secure data vault system additionally includes a sandbox system storing the generative AI model and operatively coupled to the generative AI model to send inputs to generate the outputs from the generative AI model, wherein the sandbox system comprises an execution environment configured to restrict execution of the generative AI model to a predefined memory address range. The secure data vault system further includes a secure network service communicatively coupled to the sandbox system and configured to authenticate a connection to an external system and to download from the external system an update package for the generative AI model when the connection is authenticated.

Systems and methods for managing resources across a global and / or cloud network. In particular, systems and methods for mitigating issues related to providing services while resources are offline (or may potentially go offline). For example, the systems and methods may mitigate issues related to providing services while resources are offline (or may potentially go offline) by monitoring network services at an aggregate level.

Artificial intelligence techniques for connections networking are described. In one embodiment, for example, a method comprises receiving a natural language query to group a set of entities by a first machine learning model trained on a public dataset, generating a set of entity groups by the first machine learning model based on the natural language query and the set of entities, generating a set of connections entity groups based on the set of entity groups by a second machine learning model trained on a private dataset, selecting a member identifier (ID) representing a member of a connections networking system associated with an entity from a connections entity group of the set of connections entity groups, and sending a recommendation for a networking service to an electronic device based on the member ID. Other embodiments are described and claimed.

The invention discloses a fault determination method and device, a nonvolatile storage medium and electronic equipment. The method comprises the steps that multiple pieces of simulation service flow data are sent to network element equipment, a dial test result generated by the network element equipment in response to the multiple pieces of simulation service flow data is received, and the network element equipment is in communication connection with a front-end service system through a service issuing platform; determining abnormal indexes in the dial test result, and performing clustering processing on the abnormal indexes by adopting a clustering algorithm to obtain a plurality of abnormal clusters; and obtaining abnormal logs in the service logs of the front-end service system, matching the plurality of abnormal clusters with the abnormal logs, and determining the network element equipment and / or the network link with the fault according to a matching result. According to the method and the device, the technical problem of relatively low reliability of network service caused by untimely fault detection of the network equipment and the network link in the service issuing platform is solved.