891 results about "Service configuration" patented technology

The invention provides an intranet service quality optimization method and system based on deep reinforcement learning, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting multi-dimensional performance index data, carrying out the preprocessing, constructing an analytic hierarchy model, outputting the performance score of each layer, integrating the performance score of each layer, and outputting an intranet service quality score. Constructing a simulation environment, adjusting hyper-parameters of the adaptive deep reinforcement learning model, continuously learning in an actual intranet environment, determining multi-dimensional rewards, performing multi-target optimization, and generating a multi-target optimization result; and setting a hierarchical performance index threshold, if a hierarchical optimization strategy is triggered, adjusting a network topology structure, adjusting resource allocation and service configuration, adjusting weights of different indexes in the service quality evaluation model, updating a reward function, solving an optimal service decision, generating an optimal service decision sequence, and executing the optimal service decision sequence.

The invention discloses an enterprise operation global analog simulation method based on digital twinning. The method comprises the following steps: S1, collecting and preprocessing multi-source heterogeneous data; s2, constructing an enterprise operation digital twinning model, and defining an optimization objective function and constraint conditions; s3, optimizing the model by adopting a sea elephant optimization algorithm, and dynamically adjusting structural parameters, control variables and strategy configuration; s4, multi-scene simulation drilling is carried out based on the optimization model, and enterprise operation prediction results under different strategies are obtained; s5, evaluating and comparing key performance indexes corresponding to the strategies, and determining an optimal service configuration scheme; and S6, deploying an optimal service configuration scheme, collecting feedback data, and dynamically updating the model. According to the method, the enterprise operation digital twin model which can be optimized, simulated and fed back is constructed, so that operation simulation and optimal business scheme output under multi-strategy configuration are realized, and the enterprise decision-making intelligence level and the operation efficiency are improved.

A computing services environment may include a database system storing a plurality of database records for a plurality of client organizations accessing computing services including a conversational chat assistant. The computing services environment may also include an application server may receive user input for the conversational chat assistant, a generative language model interface, an orchestration and planning service configured to identify one or more actions based on the user input, to execute the one or more actions to determine a natural language response message, and to determine a recommended action for selection via a conversational chat interface. The computing services environment may also include a communication interface configured to transmit the natural language response message and a user interface generation instruction executable by the client machine to provide a selection affordance for selecting the recommended action.

The disclosure relates to a 5G or 6G communication system for supporting a higher data transmission rate. A method performed by a second node in a communication system is provided. The method includes transmitting, to a third node, a first message including first indication information for indicating whether the second node supports handling of a packet data unit (PDU) set of an extended reality (XR) service and receiving, from the third node, a second message, wherein if the first indication information indicates that the second node supports the handling of the PDU set of the XR service, the second message includes XR service configuration information.

The invention particularly relates to a data analysis method and system. The method comprises the steps of extracting original data corresponding to a target service from a target data source according to a pre-configured data extraction strategy of the target service, loading the original data to an operation data storage layer of a data warehouse, and storing the original data; operating a data storage layer to output the original data to a detail data layer; the detailed data layer performs data preprocessing on the original data to obtain basic data and outputs the basic data to the summarized data layer; the summarizing data layer performs aggregation processing on the basic data according to a current data processing task corresponding to the target business, obtains structured data corresponding to the target business, and outputs the structured data to the application data service layer; and the application data service layer performs data analysis on the structured data according to the service configuration information corresponding to the current data processing task, and outputs a corresponding data analysis result. According to the scheme, efficient and accurate data management and analysis can be realized.

Systems and methods for performing profile-based recommendations including receiving a user input from a user, extracting a query from the user input, identifying at least one category based on the user input, generating a user profile representative of the query and preferences of the user, retrieving data corresponding to services in the identified at least one category from a data source and generating a service profile for each respective service, determining a match between the user profile and the service profiles, generating, in response to the query, an output dataset corresponding to one or more service profiles in the at least one category determined from the matching. The services corresponding to at least one of services of a third party service provider, a location, and an objective.

A computing services environment may include a database system may store database records for client organizations accessing computing services including a conversational chat assistant. The computing services environment may also include an application server receiving natural language user input for the conversational chat assistant and a generative language model interface providing access to one or more generative language models. The computing services environment may also include an orchestration and planning service configured to analyze the natural language user input via a generative language model of the one or more generative language models to identify a plurality of actions to execute via the computing services environment to fulfill an intent expressed in the natural language user input. The computing services environment may be configured to execute the plurality of actions to determine a natural language response message.

Approaches presented herein provide systems and methods for generating a standardized specification and associated interface for application development. One or more microservices may be selected and graphically represented within an interface that receives connection information from one or more users. Connected microservices may have one or more configuration specifications that are auto-populated based, at least, on operation parameters for an associated application and / or related microservices. A development environment may provide for visual representations of connections between microservices along with configuration parameters and validation services. Deployment information may then be generated based on the configuration in the representations.

One disclosure of the present specification provides a method by which a first network node performs communication on the basis of multiple USIMs. The method can comprise: receiving, from UE, a registration request message including MT service configuration information; receiving, from the UE, information informing that the UE leaves a first network including the first network node; receiving, from a second network node, information related to downlink data about the UE; and transmitting a paging message or a failure indication on the basis of the MT service configuration information and the information related to the downlink data.

A content tracking system may include a processor. A content tracking system may include a non-transitory memory coupled to the processor, including one or more content containers. A content tracking system may include a communication service coupled to a network interface, the communication service configured to receive content-related service requests. A content tracking system may include a content container service communicatively coupled to the processor. A content tracking system may include a registry container service communicatively coupled to the processor, wherein the processor is configured to. generate a content container package, associate a data content portion with the content container package, generate side car file data, associate the side car file data with the content container package; and log a plurality of content-related metadata attribute values to a registry database.

The invention discloses a digital large-screen interaction method and device based on multi-agent cooperation and a medium, and relates to the technical field of digital large-screen interaction.The method comprises the steps that postures, expressions and voice data of a user are collected in real time, the attention weight is calculated in combination with spatial position information, the emotional state change rate is monitored, and the user experience is improved in combination with personal historical browsing preferences; acquiring a main interaction user, an emotional state feature and an emotional change trend; according to the main interaction user, the emotional state features and the emotional change trend, obtaining an initial confidence coefficient of the suspected interested field through a semantic understanding model; and based on the candidate guide images, identifying a user selection intention through a multi-modal fusion processing mechanism, calculating a selection probability, triggering content activation of the main interaction area and content dynamic generation of the auxiliary information area, synchronizing state information, and starting an immersive collaborative interaction process. Through three-level collaborative service configuration, the beneficial effects of improving large screen content organization efficiency and enhancing immersive interaction experience are achieved.

The invention discloses a micro-service-based enterprise software system construction method and device, and relates to the technical field of enterprise software system construction, and the method comprises the steps: carrying out the micro-service division of an initial software system according to enterprise demand information and micro-service boundary information, obtaining an independent micro-service system, and carrying out the evaluation of the independent micro-service system, determining communication architecture information between the independent micro-service systems according to the micro-service configuration information, evaluating the independent micro-service systems to obtain a micro-service configuration influence index, acquiring the micro-service configuration information, evaluating the independent micro-service systems to obtain the micro-service configuration influence index, and determining the communication architecture information between the independent micro-service systems according to the micro-service configuration information. The micro-service architecture is evaluated and optimized through the micro-service configuration influence index and the micro-service independence index, and through quantitative evaluation and the influence index, the micro-service architecture can be judged and adjusted in time, the system design is optimized, and potential performance bottleneck and system excessive dependence are avoided.

Errors in network service provisioning are upstream causes to service disruptions interruptions, and failures experienced by a telecommunications network’s subscribers. These challenges are overcome by the disclosed systems for diagnosing and auditing service provisioning errors in telecommunications networks. By addressing discrepancies between Customer Facing Services (CFS) as selected by network subscribers (e.g., voice calling, messaging, roaming, unlimited or limited broadband access) and the current states of network elements in the telecommunications network, the system ensures accurate service delivery. The system performs real-time diagnosis by comparing expected network service configurations, derived from queried subscriber CFS, with the actual network states or configurations through a reverse mapping process. The system's auditing process reduces operational costs and obviates existing techniques of manual inspection.

The invention discloses an intelligent decision-making method and device based on service configuration, equipment and a medium, and the method comprises the steps: collecting real-time service data in a service system, employing a machine learning algorithm to carry out the learning recognition of noise data features, dynamically updating a data cleaning rule, and carrying out the recognition of the real-time service data. Cleaning the real-time business data according to the updated data cleaning rule to obtain standardized business data, obtaining a current business configuration model according to the business type, importing the standardized business data into the current business configuration model, and analyzing and processing the standardized business data through the current business configuration model to obtain the real-time business data. According to the method, the decision can be accurately adjusted according to the new situation, and the decision method is dynamically and flexibly configured based on the service data, so that new requirements brought by service changes are adaptively met.

The invention provides an AI model intelligent training and reasoning integration method and system, and the method comprises the following steps: receiving a model training instruction, and carrying out the preprocessing of original data, and obtaining a training data set; executing model training based on the training data set, monitoring task priorities and resource requirements through a dynamic resource scheduling algorithm, and dynamically adjusting training resource allocation according to a real-time monitoring result; when the model reaches a preset performance index, performing model pruning and quantification to generate an optimization model, and performing parameter fine tuning on the optimization model to obtain a final deployment model; generating reasoning service configuration according to calculation characteristics of the final deployment model, migrating the model and the configuration to a reasoning environment, and starting reasoning service; and dynamically adjusting the number of reasoning nodes according to the real-time network flow of the reasoning service. By implementing the technical scheme provided by the invention, through bidirectional dynamic resource scheduling and model deep optimization, the computing resource utilization rate and the model deployment efficiency are improved, and the high availability of the reasoning service is guaranteed.

The invention discloses a virtual machine network connectivity test method and device, a medium and a product, relates to the technical field of cloud computing, and is applied to a detection service, the detection service is configured with a single preset detection network card, the preset detection network card is connected with a plurality of l2gateway ports, each l2gateway port corresponds to a virtual router, the IP address and the MAC address of each l2gateway port are the same, and the IP address and the MAC address of each virtual router are the same. Comprising the following steps: determining a target network label corresponding to a to-be-tested target virtual machine from a preset mapping relation table; packaging based on the target network label to obtain a detection message, and sending the detection message to a target l2gateway port matched with the label by using a preset detection network card; and determining a target virtual router matched with the target l2gateway port, so that the target l2gateway port forwards the detection message to a target virtual machine in the target virtual router to perform a network connectivity test.

Methods and systems for parallel processing of batch requests using a plurality of event-specific processing streams. For example, the system may receive a plurality of requests for batch processing at a preset time. The system may process, with a scheduler service, a first event string of a first request of the plurality of requests. The system may direct the first request to a first processing service for processing within the preset time based on the first event identifier, wherein the first processing service processes the first request with a first processing service configuration file, wherein the first processing service configuration file is specific to the first processing service.

Device assisted services (DAS) install techniques are provided in accordance with some embodiments. In some embodiments, DAS install techniques for providing service processors for mobile devices are provided. In some embodiments, DAS install techniques for downloading / installing new and / or updated service processors for mobile devices are provided. In some embodiments, DAS install techniques for providing verified service processors for mobile devices are provided. In some embodiments, DAS install techniques for providing secured service processors for mobile devices are provided. In some embodiments, DAS install techniques include determining if a communications device in communication with a wireless network includes a service processor for assisting control of the communications device use of a service on the wireless network, in which the service processor includes a service profile that includes a plurality of service policy settings, and in which the service profile is associated with a service plan that provides for access to the service; and verifying the service processor. In some embodiments, DAS install techniques include providing a generic first version service processor for downloading and installing a second version service processor.

The invention provides a panoramic look-around cold start image output method and device and a computer readable storage medium, and the method comprises the steps: initializing an image collection device and a data transmission link of a vehicle in a kernel start or kernel initialization process of a Linux system, enabling the initialization of a camera to be advanced, and enabling the image collection device and the data transmission link to be more accurate. The problem of delay caused by initialization after the current service is started is solved. And on the basis of the service configuration file of the Linux system, system services are started according to a preset sequence, so that the resources can be called and used in time in the AVM drawing process, and drawing delay caused by resource waiting is avoided. The data of the image acquisition equipment is received and processed through the AVM application, the panoramic image is generated, and the panoramic image is displayed through the display of the cabin equipment of the vehicle, so that the time from the cold start of the vehicle to the display of the panoramic image is shortened, and the panoramic look-around cold start quick drawing is realized on the premise of not increasing the hardware cost.

A computing services environment may include a database system storing database records for client organizations accessing computing services including a conversational chat assistant. The computing services environment may also include an application server receiving natural language user input for the conversational chat assistant and a generative language model interface providing access to one or more generative language models. The computing services environment may also include an orchestration and planning service configured to analyze the natural language user input via a generative language model of the one or more generative language models to identify a plurality of actions to execute via the computing services environment to fulfill an intent expressed in the natural language user input. The computing services environment may be configured to execute the plurality of actions to determine a natural language response message.

The present disclosure discloses systems and methods for managing behaviour-based personalized services The system (102) obtains multi-modal data associated with user (116) from data sources. The system (102) determines user emotions and behavioural attributes associated with user (116) based on multi-modal data using artificial-intelligence model. The system (102) further generates user persona model based on user emotions and behavioural attributes. Further, the system (102) computes behavioural score for user based on user persona model. The system (102) predicts probable interactions of the user with applications based on behavioural score using generative artificial intelligence (Gen-AI) models. The system(102) determines o modifications to be made to service configurations of the applications (108A-N) by simulating the behavioural score and the predicted future interactions onto virtual applications. The system (102) modifies the service configurations based on the modifications. Furthermore, the system (102) outputs behavioural score as a token to the applications (108A- N).

The invention discloses an Internet self-research operation and maintenance management method and device and a storage medium, and the method comprises the steps: analyzing a current operation and maintenance management demand, and determining and selecting at least one target instance according to an analysis result; extracting an associated foreign key of the target instance, and dynamically associating the target instance based on the associated foreign key to form a target entity set; service configuration information based on the target entity set is obtained, and dynamic key value pair configuration of the target entity set is updated according to the service configuration information; and generating a task flow arrangement template based on the updated target entity set, and scheduling a task object to execute a task chain through the task flow arrangement template. According to the method, a multi-level configuration management framework and a template task chain mechanism are established, environment self-adaptive differential execution is supported after multi-level configuration parameters are automatically combined, the operation and maintenance efficiency and the full-link execution monitoring and auditing tracing capability are improved, and the risk of manual operation errors is reduced.

The embodiment of the invention provides an agent-based service processing method and device, and the method comprises the steps: receiving interaction information which is submitted by a user terminal after an agent interface configured by a travel service is triggered in the operation process of the travel service, intelligent agent calling of the travel service is carried out based on the interaction information, and a target sub-intelligent agent corresponding to the interaction information is determined in a plurality of configured sub-intelligent agents through the intelligent agent; the question and answer sub-agents and the sub-agents matched with the interaction information are used for service cooperative processing to obtain a service result, service response data are generated according to the service result and issued to the user terminal, and therefore the service response data are generated in the process that the user uses the travel service in an agent cooperative processing mode so that the user can check the service response data.

Techniques are disclosed for managing aspects of a dedicated region cloud at a customer location (a “DRCC”). A DRCC may comprise cloud infrastructure components provided by a cloud provider and hosted by computing devices located at the customer's (a “cloud owner's”) location. Services of the central cloud-computing environment may be similarly executed at the DRCC. The DRCC may include a service configured to collect, store, and / or present data corresponding to the cloud infrastructure components via one or more interfaces (e.g., interfaces provided to the cloud provider and / or the cloud owner). Data collected within the DRCC (e.g., capacity and usage data, etc.) may be provided and accessible to the central cloud at any suitable time. Obtaining such data enables the user to ascertain various operational aspects of the DRCC, while enabling the system and / or user to execute various DRCC-specific operations regarding capacity planning, health and performance, change management, and the like.

A cloud management platform obtains service configuration information configured by a tenant on the cloud management platform, where the service configuration information includes one or more of the following: a network identifier, a terminal node identifier, and a terminal node type. The network identifier indicates identifiers of networks including at least two resource pools that establish a network connection, each terminal node corresponds to one resource pool, the resource pools correspond to a plurality of service providers, each resource pool includes a plurality of computing nodes, the plurality of computing nodes are used to run a business of the tenant, and the terminal node type indicates a type of a resource pool corresponding to the terminal node. The cloud management platform creates corresponding terminal nodes for the at least two resource pools based on the terminal node type.

A method performed by a functional component implementing an enabler function in a User Equipment (UE). In an embodiment, the method may include transmitting, to a first network function implementing an Edge Configuration Server (ECS), a first request message for service provisioning. Receiving, from the first network function, a first response message. The first response message may include a first parameter indicating information related to a second network function implementing an Edge Enabler Server (EES) managed by the first network function, and a second parameter indicating information related to a third network function implementing an EES managed by a fourth network function implementing an ECS. The embodiments may allow the ECS to discover a target EES having a Service Layer Agreement (SLA) with a source EES based on the federation agreements between Edge Computing Service Providers (ECSPs), before EDGE-9 interaction.

According to an embodiment of the present disclosure, a method performed by a user equipment (UE) in a wireless communication system includes receiving, from a base station (BS), multicast broadcast service (MBS) configuration information including information about at least one hybrid automatic repeat request (HARQ) process for an MBS, receiving, from the BS, MBS data based on the MBS configuration information, and processing the MBS data based on an HARQ process corresponding to the MBS data among the at least one HARQ process for the MBS.

The invention discloses a topology virtual mapping method and device for cross-domain access control, equipment and a medium, and relates to the technical field of computers, and the method comprises the steps: carrying out the remapping of a configuration space of target equipment of a target switching chip, and generating equipment configuration information corresponding to each host domain; the target device comprises a downlink bridge device in the target switch chip and an endpoint device connected with the downlink bridge device; generating an access control service configuration table based on the equipment configuration information, and storing the access control service configuration table to a multifunctional shared port in the target switch chip; mapping the endpoint equipment to the lowermost layer of the virtual topological structure with the fixed stage number according to a depth-first rule so as to generate an independent topological structure of each host domain; determining a routing transmission path of the target message based on the access control service configuration table and the independent topological structure; the target message comes from the multifunctional shared port. In conclusion, the problem that hardware is difficult to solidify and judge is solved, and the system performance is improved.

In some implementations, a first device associated with a first network may receive a service request associated with a user equipment (UE). The first device may transmit, based on a service provisioning profile associated with the UE, a signal to a second device associated with a second network, wherein the second device is capable of serving the service request, and wherein the service request is associated with sharing a core network application between the first network and the second network.

The invention relates to the technical field of computers, in particular to a multi-agent system construction method and device based on a servitization agent architecture, and the method comprises the steps: compiling a configuration file of a servitization agent based on the servitization agent architecture; integrating a plurality of servitization agents into a server according to the configuration file; starting the micro-services of the plurality of service agents, and performing service configuration on the plurality of service agents according to the registration center of the micro-services and the meta-information of the plurality of service agents; service discovery is carried out after service configuration is started, multiple pieces of service intelligent meta-information on the registration center are pulled, multiple service intelligent nodes are generated according to the multiple pieces of service intelligent meta-information, and a multi-agent system is constructed according to the multiple service intelligent nodes to cooperatively execute tasks. Therefore, the problems of relatively poor flexibility, adaptability and execution efficiency, resource waste and the like caused by the fact that a multi-agent system organizes multi-agent cooperation by an agent with a single function in a related technology are solved.