524 results about "Service configuration" patented technology

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.

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.

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.

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 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.

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.

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.

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.

Systems and methods are provided for implementing automated cloud buildout and / or run state management using cloud hosted orchestration of configuration and installation of cloud services. A configuration file, which outlines configurations and services to be applied to servers installed within a data center, is used by a computing system to orchestrate configuration or reconfiguration of the servers during buildout operations and / or run state operations of a cloud network(s). The computing system monitors for configuration changes or inconsistencies in the servers, as compared with the configuration file. If the configurations have been changed or are otherwise inconsistent with the configuration file, the computing system automatically restores, resets, or reconfigures the first servers or services / apps to be consistent with the configurations as outlined in the configuration file. A user interface may be provided to enable a user to view statuses of the buildout operations and / or the run state operations.

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.

In an aspect of the disclosure, a method, a computer-readable medium, and a system are provided. The method is implemented by one or more computing devices. The one or more computing devices obtain a service profile for a distributed application. The service profile includes microservice parameters defining compute resource requirements for a plurality of microservices of the distributed application; and communication parameters defining communication resource requirements between the plurality of microservices. The one or more computing devices distribute the plurality of microservices across a plurality of worker nodes based on the service profile. The one or more computing devices configure communication channels between the distributed microservices based on the communication parameters.

The invention belongs to the related technical field of vehicle control and scheduling, and particularly relates to an unmanned vehicle scheduling system and method based on strategy driving, and the system employs a three-layer architecture, and comprises a framework layer which comprises a visual human-computer interaction interface, a scheduling service system and an automatic driving system, data management, work order management, scheduling task execution and unmanned vehicle state feedback functions are provided, and the layer is kept unchanged when a service scene is newly added; the strategy layer supports three elements of dynamic configuration and strategy management and provides a customized interface of scheduling rules and parameters, and the three elements of the strategy comprise a scheduling algorithm plug-in program, a parameter configuration page and a new work order page; and the scheduling layer is used for instantiating and operating scheduling logic, associating a specific strategy, calling the function of the framework layer and the scheduling capability defined by the strategy layer to command the unmanned vehicle to complete scheduling operation, and realizing business work order fulfillment. The system and the method have the advantages of rapid scene adaptation, high system compatibility, low development cost, flexible service configuration and the like.

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 provides an emotion perception and guest room management method based on voiceprint recognition, and the method comprises the steps: generating a service configuration adjustment scheme matched with the emotion tendency of a user according to a demand prediction result, carrying out the fine adjustment of service contents according to the real-time change captured by dynamic data, and obtaining adjusted service parameters; if there is a deviation between the optimized emotional periodic change rule and the actual user feedback, updating the voiceprint feature matrix and the emotional tendency distribution by re-collecting the long-term data record, and determining a new periodic fluctuation feature; and according to the new periodic fluctuation characteristics, the construction of an emotion portrait model and the personalized demand prediction process are executed circularly, the pertinence of service configuration adjustment is continuously improved, and a final optimized service quality improvement scheme is obtained.

The invention is suitable for the technical field of computers, and provides an application version release method and device, terminal equipment and a storage medium, according to the embodiment of the invention, an executable process sequence of topological sorting is dynamically generated, and orderly execution of a release process is achieved; the Kubernetes configuration set only containing the state change service is generated by analyzing the application version identifier and the service version data, so that the situation that unrelated service configuration files are fully processed is avoided, and computing resource waste and synchronization delay are reduced; the change file is converted into a key value structure and persisted to distributed storage, and the data security is guaranteed by using the high availability and reliability of the distributed storage; and monitoring a key value change event stored in a distributed manner and synchronizing the key value change event to the Kubernetes cluster, thereby realizing real-time synchronization and rapid release of the change. The problems that a traditional static script release process cannot dynamically respond to service demand changes, the release period is long, resources are wasted, and synchronization is delayed are effectively solved.

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.

Various embodiments include a wireless communication network that comprises provisioning circuitry. The provisioning circuitry converts customer facing services to network service attributes that define service provided to a user device on the network. The provisioning circuitry transfers a command to a network element to update existing service attributes stored in the device's subscriber profile using the network service attributes. The provisioning circuitry queries the network element to retrieve implemented service attributes from the subscriber profile. The provisioning circuitry provides the customer facing services, the network service attributes, and the implemented service attributes to a machine learning model trained to detect discrepancies between implemented service attributes and customer facing services. In response to detecting a discrepancy between the customer facing services and the implemented service attributes, the provisioning circuitry transfers an update to the network element to correct the discrepancy between the implemented service attributes and the customer facing services.

The invention discloses a main-standby switching function implementation method for a cloud platform IPsec VPN gateway, and relates to the technical field of cloud computing. The method comprises the following steps of: establishing a main / standby switching system, automatically deploying an IPsec VPN server group in a VPC (Virtual Private Controller) needing to use an IPsec VPN service through a server deployment module according to a service specification required by a user, configuring a public network IP (Internet Protocol) for the IPsec VPN server group, and configuring main / standby switching parameters of the IPsec VPN server group after establishing the IPsec VPN server group through a main / standby switching initialization module; iPsec VPN gateway service configuration is issued to an IPsec VPN gateway server group through a configuration issuing module; the IPsec VPN servers in the IPsec VPN server group are polled through the configuration maintenance module, it is guaranteed that service configuration in the IPsec VPN servers is consistent with that of the IPsec VPN main server, and when the IPsec VPN main server breaks down, the main server and the standby server are switched through the main and standby switching module, so that the service configuration of the IPsec VPN servers in the IPsec VPN server group is ensured to be consistent with that of the IPsec VPN main server. The IPsec VPN server recovered from the fault is added into the IPsec VPN server group again through a fault recovery module; and the log alarm module is responsible for log recording and alarm work during IPsec VPN main / standby switching.

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 cloud service discovery method and device, a storage medium and a computer program product, and relates to the technical field of data processing, and the method comprises the steps: requesting cluster service configuration information from a Kafka management and control platform according to a pre-established communication connection channel, and receiving a metadata request sent by a client; judging the request type of the metadata request, and forwarding the metadata request to a Kafka cluster based on the request type and cluster service configuration information, so that the Kafka cluster returns response data according to the metadata request; and receiving response data, packaging the response data, and sending the packaged response data to the client, so that the client performs data writing and / or data reading according to the response data. Metadata requests are forwarded through the Kafka metadata gateway, the Kafka metadata gateway serves as a service discovery intermediary, a client does not need to concern details of a bottom layer cluster and depends on the centralized control and forwarding capacity of the Kafka metadata gateway serving as an intermediary layer, and unified entry non-inductive access and load balancing of the Kafka service on the cloud are achieved.

The invention relates to a monitoring platform and an implementation method for unified configuration management of the monitoring platform, and belongs to the technical field of power equipment control. According to the method, a cluster comprising a plurality of servers is deployed, a unified configuration management tool is configured in one server, and an acquisition module is configured in each server, so that data interaction between each server and a data center in the cluster is realized; a server imports configuration information content related to each business service into a data center in a form of a configuration template through a unified configuration management tool, and when the business service is started, each business service transmits a configuration path and a name of the business service to a corresponding configuration acquisition module; and the configuration acquisition module acquires the configuration information content from the data center according to the configuration path and the name so as to realize unified management of the configuration information content of each business service. The problem that in the prior art, maintenance of configuration information content depends on proxy services on all the servers, so that loads of the servers are increased, and reliability is poor is solved.

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.