289 results about "Service component" patented technology

The invention belongs to the technical field of software system optimization and intelligent operation and maintenance, and discloses a shared platform autonomous upgrading method based on a graph neural network, and the method comprises the following specific steps: S1, component state perception and feature coding; s2, constructing a heterogeneous dynamic evolution diagram; s3, dynamic graph neural network embedding modeling; s4, state prediction and conflict evaluation; s5, constructing an upgrade game diagram and strategy reasoning; s6, executing an upgrading plan and real-time feedback acquisition; and S7, graph structure reconstruction and strategy closed-loop optimization. According to the method, the heterogeneous dynamic evolution diagram is constructed, the time sequence label and the state quantification model are introduced, real-time sensing and standardized modeling can be carried out on the running state of each service component in the sharing platform, and compared with a traditional upgrading method depending on static configuration and a predefined template, the upgrading efficiency is greatly improved. According to the mechanism, inductive expression of multi-dimensional features such as node resource occupation, access frequency and response fluctuation is completed in the stage before upgrading.

The invention discloses a data query method, device and equipment. The method comprises the following steps: firstly, obtaining a data query request proposed by a user; then, combining the data query request with a prompt instruction prompt, and inputting the data query request into a preset large language model for identification of user intention and preliminary screening of data query service components MCP to obtain N MCPs; wherein N is a positive integer greater than zero; collecting parameter information required by N MCPs through a large language model; calling a corresponding MCP service instance according to the parameter information required by the N MCPs and a preset calling mode; and data query can be carried out by using the MCP service instance to obtain a data query result. Therefore, the accuracy of the data query result and the availability of the system can be effectively improved.

The invention particularly relates to a spatial analysis method based on large model agent driving. According to the spatial analysis method based on large model agent driving, syntactic analysis and intention recognition are carried out on a spatial problem described by a natural language through a large model, and spatial-temporal clustering, network analysis and a field simulation algorithm module are dynamically matched; packaging a heterogeneous algorithm into a standardized service component based on a model context protocol (MCP), and automatically constructing an analysis process chain; and integrating a GIS engine and a visual template library, generating a dynamic thematic map according to the processed spatio-temporal data through the visual engine, and superposing multi-dimensional analysis annotations. According to the spatial analysis method based on large model agent driving, the full-chain intelligent capability from data processing to decision support is constructed, the efficiency and precision of spatio-temporal evolution modeling are remarkably improved, meanwhile, the system integration and maintenance cost is reduced, the method is suitable for high-complexity scenes needing real-time spatio-temporal data analysis, and the method is suitable for popularization and application. And the method has remarkable technical innovation and industrial application value.

The invention provides an online interactive programming education system based on a micro-service architecture, and the system comprises an infrastructure layer which serves as a bottom layer computing power and provides an elastic computing power through a cross-cloud deployment technology and a dynamic resource scheduling technology; the platform core layer constructs a stateless micro-service cluster through a service registration discovery module, a load balancing module and a fusing mechanism module depending on elastic resources of the infrastructure layer, and the infrastructure layer provides physical resource guarantee for operation of the micro-service cluster of the platform core layer; the platform support layer is used for integrating an authority management component, a workflow engine component and a general service component based on a stateless micro-service cluster constructed on the platform core layer, and providing resource isolation and high-concurrency task scheduling support in a multi-tenant environment for the programming education system; the platform core layer is combined with distributed transaction management to provide stable service scheduling and communication capability for an authority management component, a workflow engine component and a general service component of the platform support layer; and the platform application layer combines service scheduling and communication capabilities, realizes teaching functions such as multi-language development, code debugging visualization, AI personalized suggestion and collaborative learning, and directly serves programming learning of students and teaching management requirements of teachers.

The invention discloses a data distribution method and system, and the method comprises the steps: dividing to-be-processed data into a plurality of data subsets, determining tasks and service components corresponding to the data subsets, determining the dependency relationship between the tasks, and the operation resource demands of the service components, and carrying out the processing of the to-be-processed data. Determining a calling relationship between the service components and a communication resource demand of the calling relationship between the components; on the premise that operation resource requirements of service components on a server are less than available computing resources of the server, and communication resource requirements of a calling relationship between the components are less than or equal to available communication resources between the servers where the components are located, data processing benefit maximization is taken as a target; and the tasks, the service components and the data subsets are distributed to the servers, so that reasonable distribution of the data is realized, and subsequent data processing benefits can be improved.

The invention discloses a distributed micro-service architecture service component efficient management and control method based on an intelligent learning model, and belongs to the field of intelligent operation and maintenance, and the method comprises the steps: S1, constructing a multi-granularity service component map, collecting service calling data, mapping the service calling data into a third-order tensor, eliminating non-service flow, and carrying out smooth processing; s2, performing parallel orthogonal subspace slice mapping on the tensor, and extracting an abnormal path subtensor set; s3, constructing a dynamic health assessment model based on the heterogeneous service dependency graph, and fusing indexes such as response time delay and overload frequency; s4, constructing a nested meta-learning model fusing support vector classification and graph convolution, and generating a strategy group; s5, expanding a service behavior response function in a disturbance environment, and improving the coverage rate of a strategy to a rare state; s6, based on an execution engine of a rescheduling factor, guiding the resources to be redirected to a high-aggregation-degree substructure; and S7, comparing the structure entropy change to judge whether to enter the next round of intervention or adjust the disturbance source. The beneficial effects are that abnormity is accurately detected, health is dynamically evaluated, and scheduling efficiency is improved.

The invention belongs to the technical field of cloud computing resource management, and provides a service elastic scaling system based on resource calling, which comprises a resource calling analysis module used for constructing a dynamic resource dependency graph by monitoring calling relations of service components in an application program, and analyzing the resource calling analysis module; analyzing historical calling data in the dynamic resource dependence graph by using a long-short-term memory network model, and predicting a future resource demand condition; the elastic scaling strategy generation module is used for dynamically generating a priority queue of resource calling and generating an elastic scaling strategy based on the topological structure and the real-time load data of each service component; and the elastic scaling implementation module is used for implementing service elastic scaling through resource buffering and fusing of resource calling abnormity according to the elastic scaling strategy. According to the method, the application program resource calling link is analyzed, the machine learning prediction and the security policy are combined to dynamically optimize the scaling decision, the calculation overhead caused by frequent starting and stopping of resources can be reduced, and the data security and the service stability are improved.

A system includes a memory configured to store a software application and a plurality of microservices including a set of independent software service components configured to be independently executed. The system includes processors operably coupled to the memory and configured to receive a request to initiate an execution of interactions with the software application for satisfying the request, and to identify, based on the request, one or more microservices to be executed to initiate the execution of the interactions with the software application. The processors further execute one or more generative machine-learning models trained to identify anomalous interservice interaction patterns between the one or more microservices. In response to identifying the anomalous interservice interaction patterns, the processors dynamically update operations processes associated with the one or more microservices, and further execute the one or more microservices to initiate the execution of the one or more interactions with the software application.

The invention discloses a unified key management method and device for a distributed password service component, and aims to solve the problems of single-point failure, consistency deficiency and insufficient life cycle management and control of existing key management. According to the method, based on a distributed key generation protocol, Shamir secret sharing, PBFT consensus and Lagrange interpolation, key generation, distributed storage, safe distribution and dynamic rotation whole-process management and control are achieved. The device is composed of n nodes including a processor, a memory and a communication and key processing module, and supports encrypted storage, secure communication and consensus collaboration. Security is guaranteed through a threshold mechanism, hash verification and a hash chain technology, availability is improved through SDN optimization and failover, and nodes and parameters can be flexibly adapted and expanded. The method is applied to scenes such as a power grid, gives consideration to safety, availability and compliance, and is suitable for unified key management of distributed system password services.

The invention discloses a cross-framework rendering method, device and equipment of a business component, a storage medium and a product, relates to the technical field of computers, and is applied to a cross-framework rendering system of the business component, the system comprises a component warehouse, a component service and a component calling toolkit, the method comprises the steps that a component rendering request from a client side is received through the component calling toolkit, and the component rendering request comprises a component identifier, version information and attribute data; acquiring corresponding component resources from the component warehouse through the component service according to the component identifier and the version information, and selecting a corresponding rendering adapter according to the component resources; and through the rendering adapter, performing rendering processing on the component resources by using the attribute data to generate a rendering result, and returning the rendering result to the client through the component calling toolkit to perform rendering presentation. The development cost can be reduced.

The invention provides a network version PLC (Programmable Logic Controller) programming platform and a PLC programming method, and the network version PLC programming platform comprises an editing service component which is used for responding to a configuration operation request for PLC project resources from a user terminal and configuring the PLC project resources; the compiling service component is used for responding to a compiling operation request for the PLC project resources from the user terminal and compiling the PLC project resources to generate a target program; the network disk is used for storing PLC project resources or target programs; and the network disk service module is used for writing the configured PLC project resources or the generated target program into a network disk, or reading the corresponding PLC project resources from the network disk so as to enable the editing component to perform configuration, or enable the compiling component to perform compiling. According to the method and the device, online storage of related files in the PLC programming process is supported, so that more flexible online compiling at any time and any place is supported.

The invention discloses a service component generation system and method in an intelligent low-code development platform. The method comprises the following steps: S1, generating a service semantic vector through semantic coding; s2, inputting the semantic vector into a constructive sparse transformation network, and extracting semantic feature representation; s3, matching is performed based on the semantic features and the component semantic vectors, and a candidate component set is generated; s4, if the matching is incomplete, constructing a component structure tree and generating a new component structure description; s5, completing field binding, control flow construction and interface configuration, and generating a component template set; s6, optimizing a model structure and parameters by adopting a sparse singular value adaptive ant nest optimization algorithm; s7, deploying the component template to the low-code platform; and S8, collecting component operation data, updating a model path and a weight, and continuously optimizing. According to the method, intelligent generation and structure optimization of the low-code component are realized, and the development efficiency and the semantic matching precision are remarkably improved.

The invention relates to a mimicry computing cluster system environment deployment tool and method, and relates to the field of advanced computing, and the tool comprises a mimicry computing node management interface; the mirror image packaging component is used for providing a system environment installation mirror image packaging function for the mimicry computing node; the mimicry computing node deployment service component set is used for providing universal basic services for the deployment process; the service arrangement component provides a self-defined system environment deployment process and an installation configuration scheme, and performs error detection on the deployment configuration scheme generated by arrangement; the mimicry computing resource sensing registration component is used for performing information acquisition and sensing on each computing node in the mimicry computing cluster; and the mimicry computing node initialization component is responsible for executing a deployment management command. According to the method, the requirements of mimicry computing cluster system environment large-scale deployment, heterogeneous resource adaptation, multi-field application deployment and efficient operation and maintenance can be met.

The invention provides a Wayland protocol pass-through graph processing method based on cloud application and related equipment, and relates to the technical field of electric digital data processing. The method comprises the steps that when a target cloud application session is started, a hardware coding service component queries a capability list of a target cloud hardware encoder and sends the capability list to a protocol negotiation and forwarding engine component, and an engine negotiates with a target cloud application based on the list and determines a compatible target rendering format. And after a graphic rendering request and to-be-rendered data of an application are received, calling a graphic driver to create a target memory access buffer area according to a target rendering format, rendering the first frame of to-be-rendered data in the buffer area by the application, and feeding back a buffer area handle to the engine. And the engine performs compatibility check on the buffer area, and the hardware encoding service component calls an encoder to encode the first frame of image data to be encoded according to the check result. According to the method, redundant synthesis steps of a traditional synthesizer can be eliminated, a data processing link is shortened, and delay and resource consumption are reduced.

The invention relates to a bank online and offline channel fusion method, device and system and a program product. The method comprises the following steps: receiving a reservation request sent by an online channel, and carrying out risk verification on the reservation request; under the condition that the verification is passed, according to the reservation request, calling a corresponding queuing machine assembly to perform remote reservation number taking; determining that the target service needs to be pre-filled based on the reservation request, and sending a voucher generation request to a unified voucher library; in response to the received electronic certificate file fed back by the unified certificate library, calling the unified communication component to send the electronic certificate file to the client, and sending a reservation success message to the online channel; receiving a service handling completion notice from the bank service component, and associating the electronic receipt information in the service handling completion notice with the reservation request to generate service handling full-cycle data; and in response to the reservation record query request, obtaining and displaying corresponding service handling full-cycle data. By adopting the method, the problems of online and offline flow breakage and data blockage can be solved.

The invention discloses a residual creep life prediction method based on microscopic damage characteristics. The residual creep life prediction method comprises the following steps: acquiring interrupt samples in different damage states through a creep interrupt test; quantitatively characterizing the grain boundary orientation difference and the geometric necessary dislocation density of the interrupted sample by using an electron back scattering diffraction technology; a quantitative damage index is constructed based on the grain boundary orientation difference and the geometric necessary dislocation density, the quantitative damage index is used as an internal variable to be coupled into a Marson-Miller parameter model, and a microscopic-macroscopic associated residual life prediction model is established; and through a microscopic-macroscopic associated residual life prediction model, predicting the residual life of the material under different service times to obtain the residual creep life. According to the method, the microscopic damage state in the material can be directly and quantitatively reflected, early, sensitive and accurate prediction of the residual creep life of the in-service component is realized, and a reliable basis is provided for safe operation and maintenance decision of an overdue service unit of a power plant.

The invention relates to a form processing method and device, computer equipment and a storage medium, and the method comprises the steps: displaying a preset application management page when a form processing request triggered by a user is received; wherein the form processing request carries a form entity demand input by a user, and the application management page comprises a preset component library; receiving a service component screened from a component library in the application management page by a user; extracting a form entity demand from the form processing request, and constructing a corresponding table unit model based on the form entity demand and the service component; based on preset component integration configuration information, performing page rendering on the table unit model to generate a corresponding form interface; generating corresponding form instance data based on business data input in the form interface by a user; judging whether a triggered form storage action event is received or not; and if yes, storing the form instance data. According to the method and the device, the form construction efficiency is effectively improved, and the form construction flexibility is improved.

The invention provides an automatic external connection regression testing method and device, equipment and a storage medium, and belongs to the field of computer software tests.The method comprises the steps that historical external data are extracted from an external connection database in batches based on an external connection regression testing request input by a client interaction page; converting the historical external data into basic test data according to a preset rule based on test demand information input by the client interaction page; updating the basic test data into test sample data matched with the current interface of the external connection component; calling a logic code of the external connection component based on the JSP, analyzing the test sample data and forwarding the test sample data to the service component; and comparing a business result generated by the service component with an expected result, and generating a test report. Through the method provided by the invention, the limitation of a traditional scheme can be overcome, and the efficiency and quality of external connection regression testing are improved in an automatic testing mode.

The invention relates to a software development deployment system based on a micro-service architecture. The system comprises a micro-service management module, a load monitoring module, an output evaluation module, a task virtual module and a micro-service optimization module. A real-time resource monitoring system is constructed, and a load monitoring and output evaluation module is combined with a measured data correction mechanism, so that the accuracy of computing resource load and component output data is ensured, and a reliable basis is provided for optimization decision making; a task virtual module is innovatively designed, a virtual task in a complex scene can be simulated through task screening, learning and dynamic generation mechanisms in combination with a replacement ant algorithm and comprehensive reliable vector evaluation, and the adaptability test capability of a micro-service component under different load conditions is improved; and the micro-service management module determines load, value association and substitution logic among the components through component association relationship analysis and substitution feature generation, and provides data support for dynamic deployment and substitution.

The invention discloses a business component control method and device, electronic equipment and a program product, and relates to the field of financial science and technology, and the control method comprises the steps: controlling first preset middleware to receive transaction requests of a plurality of channels, all the transaction requests are forwarded to a plurality of business components of a plurality of third preset middleware through second preset middleware, and background transactions corresponding to each channel run on a memory of the second preset middleware; starting all background transactions, determining a current background transaction from all the started background transactions, and determining third target preset middleware corresponding to the current background transaction; and based on the current background transaction, accessing a preset data table in the database, and based on the preset data table, controlling the running state of each service component in the third target preset middleware. According to the invention, the technical problem that the business continuity is affected due to abnormal stop of the system service caused by the fact that the starting and closing of the business component cannot be accurately controlled in the prior art is solved.

Embodiments described herein relate to systems and methods for deploying automated assistant services or conversational bots using an automation service. The automations service includes a series of automation components that are executed in accordance with a workflow in response to a trigger condition being satisfied. The automation service includes one or more automated assistant service components, which may invoke use of generative output engine having a large-language model in order to produce generative content. The generative content may be used by subsequent automation components to produce the automation service result. Content creation and modification may be performed using the permissions of a respective system user and attributed to the automated assistant service.

The embodiment of the invention discloses a visual process arrangement method, system and device and a storage medium, and relates to the technical field of computers, the method comprises the following steps: processing an obtained business demand document to obtain demand information corresponding to the business demand document; determining a plurality of service nodes from a plurality of pre-configured candidate service components based on the demand information; the method comprises the following steps: under the condition that a plurality of service nodes are mapped to a visual arrangement interface, determining a first connection relationship of the plurality of service nodes in the visual arrangement interface and a second connection relationship of each candidate service component in each service node in the visual arrangement interface according to demand information; and in response to an editing instruction of the user, executing an editing operation corresponding to the editing instruction on the target object, thereby realizing efficient arrangement of the service process in the medical and financial business system.

The invention discloses a lightweight compilation deployment method and system for agent applications, and relates to the technical field of artificial intelligence application deployment. Aiming at the defect that an intelligent agent application depends on an intelligent agent development platform to run, the method comprises the following steps: a front-end compiling engine receives webpage description metadata generated by a webpage designer, analyzes and extracts an effective component, converts the effective component into a front-end static resource file, and then packages the front-end static resource file to generate a front-end static resource package only containing an actual component code of an intelligent agent; the back-end compiling engine receives the business process definition file generated by the business process designer, analyzes and extracts service components actually required by the business process and eliminates redundancy, and then packages the service components into a back-end service package capable of being directly operated in combination with process execution scheduling logic; sensitive information of a user access model is extracted, an environment variable configuration file is generated, decoupling of sensitive configuration, a front-end static resource package and a rear-end service package is achieved, and the sensitive configuration and the front-end static resource package are supported to flexibly inject sensitive parameters of a corresponding environment in an independent deployment stage.

The present disclosure discloses a container startup method, device, electronic device and storage medium. It includes: obtaining the container image corresponding to the container cluster from the cloud; sending a snapshot disk acquisition instruction to the service component based on the container image, wherein the snapshot disk acquisition instruction is used to obtain the snapshot disk generated using the mounting information of the container image; receiving the snapshot disk fed back by the service component based on the snapshot disk acquisition instruction, mounting the snapshot disk as a container startup program to the host machine, and triggering the container startup instruction to take effect; based on the container startup instruction, hot-plugging the snapshot disk to the virtual machine of the target container, so that the target node performs the container startup operation on the target container based on the snapshot disk. The present disclosure centrally stores container images in the container cluster by means of a cloud disk, so that each container image is saved in a copy in the cluster, which saves storage space compared to storing the container image on each node. Even when starting containers concurrently on multiple nodes, the cold start efficiency can be effectively guaranteed.

The application relates to an application service cluster switching method and device, computer equipment, a computer readable storage medium and a computer program product. The application relates to the technical field of data processing. The method comprises the following steps: switching an online component from a first service component to an intermediate component; acquiring application service traffic through the online component, and splitting the application service traffic into a first part of traffic and a second part of traffic; splitting the first part of traffic to a first service cluster through the intermediate component, and splitting the second part of traffic to a second service cluster, and executing an application service response process corresponding to the application service traffic; if the application service response process is executed without any exception, switching the online component from the intermediate component to a second service component, and switching the online application service cluster from the first service cluster to the second service cluster. The method can improve the system stability during service cluster switching.

The application discloses a security authentication method, a management and control platform, network equipment and a storage medium. The method comprises the following steps: an edge device sends a device activation request to the management and control platform; after the management and control platform verifies the edge device, the edge device state is updated to an activation state, an activation response feedback is sent to the edge device, and a first-level authentication feedback is sent to an authentication service component corresponding to the edge device; after the edge device receives the activation response feedback, a registration request is sent to the authentication service component; after the authentication service component verifies the edge device, a second-level authentication feedback is sent to the edge device; the edge device generates a media resource acquisition request carrying the second-level authentication feedback, and requests a media resource from the authentication service component through the media resource acquisition request. The application reduces the device authentication pressure of the management and control platform.

The application provides a large-scale cluster optimization method and device, equipment and a storage medium, which are applied to a control node. The control node is used for running an application programming interface service component of a large-scale cluster. The control node acquires a node quantity change state corresponding to the large-scale cluster and a load state of the application programming interface service component. Whether to adjust a node reporting frequency is determined according to the node quantity change state and the load state. If yes, a target node reporting frequency parameter is acquired, and the node reporting frequency is adjusted according to the target node reporting frequency parameter. The application intelligently adjusts the node reporting frequency by monitoring and analyzing the cluster node quantity change and the load state of the API service component in real time, thereby effectively reducing the load pressure of the control node and improving the overall performance and stability of the cluster.

The invention provides a business process arrangement method and device of an external connection platform. The method comprises the following steps: acquiring core business logic meeting business process requirements of the external connection platform; creating a target component implementation class based on the core business logic; injecting the target component implementation class into a preset service component; configuring the service component injected into the target component implementation class to obtain a target service component; and introducing the target service component into a pangolin platform to obtain a business process meeting the business process requirements of the external connection platform. In the scheme, the core business logic corresponding to the personalized external connection demand is acquired, the standardized service component which can be identified by the pangolin platform is packaged based on the core business logic, and finally, the component is introduced and arranged into the business process of the pangolin platform, so that the operation efficiency is improved on the premise of not modifying the bottom-layer process of the platform. And personalized arrangement of the business process is realized.

The embodiment of the invention provides an MOM data processing device and method, electronic equipment and a storage medium. The MOM data processing device comprises a data integration module for acquiring multi-source heterogeneous data with different data formats and converting the multi-source heterogeneous data into standardized semantic data with a unified data format, the multi-source heterogeneous data comprising at least one of IT data and OT data; the service configuration module is used for acquiring an MOM service application demand, selecting a plurality of micro-service components associated with the MOM service application demand from a micro-service component library, and arranging the plurality of micro-service components to obtain an MOM service application, and each micro-service component is configured to execute micro-service based on the standardized semantic data; and the front-end configuration module is used for determining each visualization module corresponding to the MOM service application, and presenting each MOM service data processing result of the standardized semantic data processed by the MOM service application to each visualization module.