368 results about "Service configuration" patented technology

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.

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 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 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.

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 communication, and provides a service degradation processing method and device, equipment, a storage medium and a program product, and the method comprises the steps: obtaining a monitoring list for monitoring a scheduling service, and monitoring the interface call of each target micro-service in the monitoring list; according to a degradation rule of a target micro-service configured by the monitoring scheduling service, writing a business request of the target micro-service meeting the degradation rule into a stacking task queue of the target micro-service for service degradation; monitoring the accumulation task queue, determining a service request meeting a service recovery condition in the accumulation task queue according to a degradation rule, and scheduling the service request meeting the service recovery condition to an execution task queue; and monitoring the execution task queue, and consuming the degradation task in the execution task queue to recover the service corresponding to the degradation task. According to the scheme, on-demand active degradation and service recovery of the service are realized, and the integrity of user service data is ensured.

A method for configuring a network address translation NAT gateway based on a public cloud service including: a cloud management platform obtains NAT gateway creation information that is input by a tenant; The cloud management platform creates the NAT gateway in the first VPC based on the NAT gateway creation information; The cloud management platform obtains configuration information that is input by the tenant and applied to the NAT gateway; The cloud management platform sets, based on the identifier of the second VPC, the NAT gateway to be connected to the second VPC, and sends the first NAT rule to the NAT gateway, where the first NAT rule is used to indicate the NAT gateway to: bind a first network segment in the first VPC to a first elastic IP address EIP; and bind the first network segment in the first VPC to a first transit private IP address.

Provided herein are systems, methods, and computer-storage media for managing data object access in a catalog service account. The method includes detecting, at a catalog service account, by a catalog manager (CM), a user request to access a data object. The user request includes identification information of the user and a principal role associated with the user. The CM retrieves one or more catalog roles from a first catalog of the catalog service account. The one or more catalog roles correspond to the principal role. The CM determines a set of hierarchical data objects based on the user request. The set of hierarchical data objects comprise the data object. The CM performs a determination of whether access privileges of the set of hierarchical data objects and access privileges of the one or more catalog roles allow access to the data object. The CM grants access to the data object based on the determination.

The invention discloses a service processing method and device, electronic equipment and a storage medium, and the method comprises the steps: calculating scene feature vector similarity according to scene features in historical business scene data, mining a potential relation between configuration parameters and business scene features, and obtaining a business scene feature vector similarity value; and on the basis, a group of business scenes with the highest similarity with the current business scene are screened out from the historical business scenes, so that the target configuration parameters of the target service are intelligently generated according to the service configuration data under the group of business scenes. Meanwhile, in the operation process of the target service, the abnormal index of each operation index is calculated, and when it is judged that the abnormal index exceeds the target threshold value, abnormal early warning information is generated. According to the invention, automatic operation of service configuration parameters is realized, the technical problem of low efficiency caused by dependence on manual parameter configuration in related technologies is solved, and the technical effects of reducing configuration time and improving configuration accuracy are realized.

An information processing method, device, server, and V2X UE are provided, the information processing method includes: receiving first pre-configured information sent by a second server; obtaining communication mode decision information according to the first pre-configured information; sending the communication mode decision information to corresponding V2X UEs; wherein, the first pre-configured information includes at least one of the following information: service configuration information for at least two V2X UEs; communication mode decision information for the at least two V2X UEs; there being a correlation between the communication mode decision information and an V2X service.

The invention discloses an attack isolation method and system for a multi-level honeynet architecture, and relates to the technical field of attack isolation, and the method comprises the steps: carrying out the incremental processing of a first number of suspicious attack sessions if a detection statistic is greater than or equal to a preset detection threshold, and obtaining a second number of attack sessions, performing maximum likelihood estimation based on a third number of normal interaction sessions and the second number of attack sessions, determining a session category corresponding to a maximum probability result, and marking and isolating the attack sessions corresponding to the maximum probability result to obtain a fourth number of residual interaction sessions; and based on the fourth number of residual interaction sessions, dynamically adjusting virtual service configuration and interaction strategies of the multi-level honeynet nodes, updating virtual topology and bait asset distribution, and continuously guiding attack behaviors into the honeynet environment. According to the isolation method, the accuracy of attack detection is remarkably improved, so that efficient isolation and intelligence utilization of complex network attacks are realized.

The invention discloses a gateway dynamic self-coding system and method based on a model context protocol, and the system comprises an inspection module which is used for monitoring the states of all equipment nodes in a gateway system, and recording the corresponding node element information if the states of the equipment nodes change; the model context protocol management module is used for constructing a context request based on a model context protocol when the state of the equipment node changes; the AI engine is used for acquiring node element information based on the context request and generating a tool calling instruction based on a model context protocol according to the node element information; the mapping relation generation engine is used for generating a mapping module according to the tool calling instruction; and the self-encoding module is used for generating a service configuration script corresponding to the equipment node according to the tool calling instruction and the mapping module. According to the invention, the remote operation and maintenance cost can be reduced, the whole process from equipment discovery to business online is intelligent and automatic, and the method can be widely applied to the technical field of mobile internet.

The invention provides an RPA, AI and LLM-based operation and maintenance method, device and equipment of a server product for realizing Agent and a storage medium, the operation and maintenance method is applied to an operation and maintenance tool platform, the operation and maintenance tool platform is configured with an operation and maintenance tool library, the operation and maintenance tool library comprises a plurality of operation and maintenance tools, each operation and maintenance tool is used for executing different operation and maintenance operations, and the operation and maintenance tools are used for executing different operation and maintenance operations. The method comprises the steps that configuration information of a target operation and maintenance object in a current operation environment is obtained, the target operation and maintenance object and a current operation and maintenance tool platform are deployed on the same server, and the configuration information comprises host configuration information, middleware configuration information and service configuration information; and calling a target operation and maintenance tool based on the configuration information and the operation and maintenance demand, so as to execute an operation and maintenance operation corresponding to the operation and maintenance demand through the target operation and maintenance tool. By adopting the technical scheme, the operation and maintenance efficiency of the server product is effectively improved.

The invention discloses a micro-service-based data encryption method and device, equipment and a medium. The method comprises the following steps: generating a symmetric encryption key and at least one group of asymmetric encryption keys; performing encryption processing on a multi-level configuration file in the micro-service based on a public key in the symmetric encryption key and the asymmetric encryption key to obtain a multi-level encryption configuration file; when the micro-service is started, sequentially decrypting the multi-stage encrypted configuration file based on a private key in the asymmetric encryption key to obtain a multi-stage decrypted configuration file; and determining a target configuration file of the micro-service according to a fusion result of the multi-level decryption configuration files. According to the invention, the symmetric encryption key and the asymmetric encryption key are combined to carry out encryption operation on each level of configuration file, and the security of micro-service configuration information is ensured by adopting a multi-layer dynamic encryption mode; and the whole-process encryption is realized by integrating multi-level configuration files, so that the encryption security of the configuration information in the micro-service is further improved.

The application is specifically a DPI shunt device rule management system and method, the system comprising: a service configuration table, wherein each service configuration item has a unique service ID; a rule configuration table, wherein each rule configuration item has a unique rule ID; a rule hash table, which quickly retrieves the rule ID by hashing the rule matching content; a policy control server, which issues service configurations to the DPI shunt device through a remote procedure call (RPC) interface, and the DPI shunt device splits the service configurations into one or more rule configurations according to a splitting algorithm; and a Redis database, which is used to persistently store the contents of the service configuration table, the rule configuration table and the rule hash table. The application has the advantages that: the table items of each management module are designed to be loosely coupled, allowing them to be independently developed and debugged; and the dual-ID management mode has good scalability and can be compatible with traditional single-ID rule management systems.

The invention discloses a password service method, a password service system and related equipment, and in the password service method, a service management platform adopts a service configuration management center to configure a password operation service according to the relationship between the password service capability of a service server in a password service state in a plurality of service servers and the password operation service requirement. Dynamic adjustment of the number of the service servers providing the password service is realized, so that the password service capability is matched with the password operation service requirement, and the utilization rate of password resources is improved.

The application discloses a service configuration method and device of a passive optical network equipment and a storage medium, wherein the method comprises the following steps: when it is detected that a first optical network terminal completes registration, if a first configuration issuing state is an issued state and configuration parameters of the first optical network terminal need to be upgraded, an optical line terminal determines a management mode corresponding to the first optical network terminal based on the first configuration issuing state; the optical line terminal determines a first target configuration file corresponding to the first optical network terminal based on the management mode, the configuration parameters and a configuration information table; and the optical line terminal issues the first target configuration file to the first optical network terminal, wherein the first optical network terminal performs corresponding parameter configuration operation based on the configuration file. The application can perform parameter configuration on the configuration file issued to the optical network terminal in the issued state and needing to be upgraded, improves the resource utilization rate of the passive optical network equipment, and simultaneously can also update the default configuration in the optical network terminal.

This disclosure provides a method, apparatus, electronic device, storage medium, and computer program product for obtaining business configuration parameters, relating to the field of artificial intelligence technology, particularly to the fields of artificial intelligence, machine learning, intelligent search, and intelligent recommendation technology. The specific implementation scheme is as follows: acquiring traffic request data; inputting the feature data of the traffic request data into at least one set of target models to obtain the output parameters of each set of target models; the output parameters of each set of target models represent the business indicator gain resulting from changing the business processing of the traffic request data from using the original business configuration parameters corresponding to each set of target models to using the candidate business configuration parameters corresponding to each set of target models; based on the business indicator gain of each set of target models, determining the target business configuration parameters from the original business configuration parameters and candidate business configuration parameters corresponding to each set of target models. According to this disclosure, accurate acquisition of target business configuration parameters can be achieved.

The invention provides an object storage processing method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining configuration information of a target deployment region, the configuration information comprising metadata service configuration information and data storage service configuration information; corresponding metadata clients are initialized according to the metadata service configuration information, the metadata clients comprise at least two types, and each type is matched with different distributed database services; according to the data storage service configuration information, a corresponding storage rear end is initialized, the storage rear end comprises at least two types, and each type is adaptive to different object storage services; performing service registration on the initialized metadata client and the storage rear end to form an executable object storage service instance; and generating a uniform object storage service interface based on the registered object storage service instance.

The invention provides a network diagnosis method and device based on a software defined network (SDN), and electronic equipment. The method comprises the following steps: obtaining to-be-detected service data, wherein the to-be-detected service data comprises one or more of the following items: service configuration data, service issuing data and service receiving data; network connectivity diagnosis is carried out on the SDN based on the service data through a flow diagnosis model, a diagnosis result is obtained, and the diagnosis result is used for indicating whether the service of the SDN is normally configured or not and whether the service of the SDN is normally issued or not; performing data reconciliation on the SDN based on the service data through a service reconciliation model to obtain a reconciliation result, the reconciliation result being used for indicating whether the service of the SDN is normally received; therefore, comprehensive detection of service configuration, issuing and receiving processes in the SDN network is realized.

The invention provides a data processing method and device for a service grid platform and electronic equipment, and the service grid platform is connected with a registration center through a first controller, and obtains specified service data; based on a target service selected by a user and included in the service grid platform, generating service configuration data corresponding to the target service, issuing the service configuration data to k8s, and storing the service configuration data; the first controller monitors change of service configuration data in k8s through the k8s API-Server, obtains a registration center service model of a target service based on the service configuration data stored in the k8s, and converts the service grid platform service model into an agent service model to be issued to all agents; according to the method, the registration center is automatically docked, so that the service information and the instance information of the registration center can be synchronously displayed on the service grid platform, real-time synchronization of the grid platform and the service grid platform is realized, and manual participation is not needed.

The application discloses a scheduling method and device of a computing node, equipment and a computer storage medium. The method comprises the following steps: obtaining a plurality of computing nodes corresponding to a cluster creation request in the case that the cluster creation request is obtained, wherein the cluster creation request comprises service configuration requirement information; constructing at least one first service cluster according to the service configuration requirement information based on the plurality of computing nodes, wherein the first service cluster comprises the computing nodes; obtaining a service capability value of the at least one first service cluster; selecting a second service cluster with a service capability value meeting a target service capability value from the at least one first service cluster as the second service cluster; and scheduling the computing nodes in the second service cluster according to the computing nodes in the second service cluster. The constructed service cluster can efficiently complete the service requirement, the problem of resource waste is avoided, and the utilization rate of resources is improved.

The invention provides a data transmission method and device. The method comprises the following steps: acquiring a data service request message sent by a data service requester; selecting a DPF network element based on the data service request message, and generating data service configuration information; sending the data service configuration information to the selected DPF network element; the data service configuration information is used for transmitting service data through the data service interface. According to the data transmission method and device provided by the invention, the data service is managed and controlled, and the service data is transmitted through the data service interface, so that the transmission efficiency of the service data is improved.

The invention relates to a load balancing equipment configuration automatic backup and versioning migration method and device, equipment, a medium and a product. The method comprises the following steps: constructing an equipment set according to load balancing equipment which needs to be backed up currently; dynamically calling a corresponding adapter according to the device brand, and extracting complete service configuration information of each device in the device set; performing automatic backup on each device in the device set; determining to-be-recovered source equipment, and automatically identifying a configuration state and a version number of the source equipment; obtaining configuration data automatically backed up by the source equipment, wherein the configuration data comprises service configuration information corresponding to each service type; and taking the target equipment as a receiving end for configuration recovery, and executing configuration migration item by item according to a preset sequence until migration of all service types is completed. Therefore, centralized and standardized management of cross-brand service configuration can be realized, repeated labor and human errors are reduced, and complexity and labor cost of multi-brand equipment maintenance are remarkably reduced.

A method includes deploying an intelligent route service on nodes of a cluster executing a cluster protocol. Each node includes pods that executes an instance of an application. The intelligent route service provides routing information between the pods and an external node. The method includes starting a container network interface ( "CNI" ) connector on the external node without a container engine or cluster components. The method includes transmitting an access request to the intelligent route service configured to request access by an external application running on the external node to the instances of the application. The method includes receiving CNI configuration information from the intelligent route service with configuration information of the cluster and routing information to the pods. The method includes establishing a communication channel between the external application and the instances of the application. The communication channel facilitates the external application executing tasks on the instances of the application.

The invention relates to the technical field of financial services, in particular to an MCP service platform and a privileged publishing, calling and visual statistical method thereof, the MCP service platform is deployed in an insurance enterprise private cloud and runs in an insurance enterprise internal network, and the MCP service platform comprises an MCP service creation module used for providing a Web interactive interface and creating MCP services to be published; the service publishing module is used for compiling a to-be-published MCP service into a standardized SSE service address, and configuring a service calling parameter and a calling secret key to form a callable MCP service; the permission distribution module is used for constructing a three-dimensional permission model comprising organizations, roles and attributes, and configuring permission control rules for callable MCP services; and the large-screen data display module is used for collecting the operation data of each module in real time and performing visual display. Therefore, MCP service full-process intranet closed-loop operation is achieved, data security is guaranteed, and meanwhile the use requirement of a multi-level mechanism is met.

This application provides a voiceprint recognition-based emotion perception and room management method, comprising: generating a service configuration adjustment plan that matches the user's emotional tendencies based on demand prediction results; fine-tuning the service content based on real-time changes captured by dynamic data to obtain the adjusted service parameters; if the optimized emotional cycle change pattern deviates from the actual user feedback, then updating the voiceprint feature matrix and emotional tendency distribution by collecting long-term data records again to determine the new periodic fluctuation characteristics; and based on the new periodic fluctuation characteristics, cyclically executing the construction of the emotional profile model and the personalized demand prediction process to continuously improve the targeting of service configuration adjustments and obtain the final optimized service quality improvement plan.

The application discloses a kind of load balancing methods based on microservice's software and hardware complementation, comprising: each service is integrated load balancing module and is configured the load balancing address of F5 hardware;Initialization configuration information;Initialization load balancing module;Query microservice registration center, obtain the node address information list of each associated service end, to update the cluster address in service configuration information;When service sends request to other service, load balancing module is dispatched according to the service name of request service, and sends request to the specified node address of target service, if sending fails, again using the F5 load balancing address of service end as the bottom to send request past.The application can well guarantee the stability of system load balancing under double-layer load strategy.

This application relates to an OPCUA service generation method and system, belonging to the field of communication technology. It includes: obtaining the data read / write protocol of the device required for the OPCUA service; obtaining the OPCUA server framework code; receiving the OPCUA information model and the data-service mapping relationship of the required device within the OPCUA information model; receiving OPCUA service configuration parameters; compiling and generating service source code based on the required device's data read / write protocol, OPCUA server framework code, OPCUA information model, data-service mapping relationship, and service configuration parameters; and cross-compiling the service source code according to the management terminal system attributes corresponding to the required device to generate the OPCUA service. This method eliminates the need for developers to develop and write code, resulting in high efficiency and a short cycle time. This application provides a more convenient way to generate OPCUA services.

This invention discloses an automated tuning method and system for large language model service configurations, belonging to the fields of artificial intelligence and cloud computing technology. The invention includes an offline analysis module for performance profiling of the large language model (LLM) service system under a finite configuration set and for collecting training data; an online search module for exploring and evaluating the performance of different configurations in the configuration space based on a Monte Carlo tree search algorithm; and a simulator module for receiving the configurations generated by the online search module and predicting the performance metrics of the configurations under a target workload based on a logical step simulation model. This invention effectively solves the problems of low search efficiency and poor performance of existing automatic tuning methods in existing large language model service frameworks (such as vLLM, SGLang, etc.) due to the huge number of configuration parameters (reaching a petabyte-scale search space) and the complex dependencies and mutual exclusion relationships between parameters.