1045 results about "Computer compatibility" patented technology

The invention provides an AI-based laboratory equipment scheduling optimization method and system, and the method comprises the steps: firstly obtaining a state monitoring data set containing the characteristics of equipment operation power consumption, idle time length, environment interference factors and the like in real time, and then carrying out the multi-dimensional analysis of the state monitoring data set; generating an availability evaluation index set containing characteristics of equipment load fluctuation, maintenance period prediction, compatibility matching and the like, and an experiment task priority queue, performing cross decision analysis on the availability evaluation index set and the experiment task priority queue based on a preset dynamic resource allocation model, and obtaining a scheduling strategy set containing a task allocation path, a cooperative operation rule and a conflict resolution mechanism; scheduling strategy parameters are calibrated according to experimental task operation log data, an optimized execution instruction set is generated, instructions are fed back to an equipment control system to adjust the equipment state, a dynamic resource allocation model is iteratively updated according to execution feedback data, and efficient scheduling optimization of laboratory equipment is achieved.

Systems and methods for generating industry-specific solutions using collaborative Artificial Intelligence (AI) agents are disclosed. In an aspect, input data corresponding to an industry-specific problem is received. A goal context for the industry-specific problem is then identified. Further, an industry-specific process workflow corresponding to the industry-specific problem is selected based on the goal context. Furthermore, an agentic context, historical intelligence data, group dynamics data for agent compatibility, appropriate agent character data, and historical user feedback data corresponding to the industry-specific workflow are retrieved. Moreover, AI agents and agent compatibility rules to execute user goals are selected and the rules are assigned to each AI agent. An agentic process workflow for the industry-specific problem is then generated. A candidate solution is then generated by executing the generated agentic process workflow. The candidate solution, agentic process workflow and agent compatibility rules are then outputted on a user interface of a user device.

The invention provides a Linux access control system based on attributes, and relates to the technical field of data access control. The system comprises a system monitor module, a data interaction module and a decision unit. The system monitor module collects attributes from a kernel and a user space and writes the attributes into the data interaction module; the access decision unit compiles the access control strategy into an eBPF program and mounts the eBPF program to a corresponding hook; executing the kernel to the hook, and triggering an eBPF program; an eBPF program queries a Flow rule; matching the attribute with the Flow rule, and if the matching is successful, executing a corresponding action; if all the Flow rules fail to match, executing a default action; the system can be expanded during operation, and can be loaded or unloaded based on dynamic loading characteristics and strategies of the eBPF program and the eBPF program during operation of the system, so that the problem that a kernel needs to be compiled in a traditional LSM scheme is solved; the method does not intrude the kernel, is completely based on an eBPF program, does not modify a kernel source code, and can guarantee the stability and compatibility.

The invention provides a cross-protocol identification data intelligent analysis middleware method and system. The method comprises the following steps: taking multiple industrial communication protocol identifiers in advance to form a metadata set, and constructing a protocol feature element model library containing a non-standard protocol feature template; a programmable logic device is introduced, physical layer signal waveform characteristics are matched, and corresponding communication protocol stacks are dynamically switched at a hardware level according to a matching result; receiving a communication data stream through an electric domain processing unit of the programmable logic device, and generating a protocol analysis logic sequence in combination with a state transition rule of the meta-model library and a mode matching rule of the protocol stack; performing combined operation on the structured feature template and the analysis logic sequence to generate an executable cross-protocol data analysis rule; and when unknown protocol characteristics are detected, triggering dynamic reconstruction of the template, so that the analysis rule is adapted to a newly added protocol. According to the technical scheme provided by the invention, the protocol compatibility development cost in an industrial multi-protocol scene is remarkably reduced.

The invention relates to a low-code visualization optimization method and system for power credential development, and the method comprises the following steps: S1, obtaining data in a credential environment, recognizing the interface difference and performance bottleneck points between components through a compatibility test matrix, and building a standardized adaptive interface specification; s2, obtaining a standardized business object model based on the standardized adaptive interface specification; based on the business object model, defining attributes, relationships and constraint rules of each business entity, and forming a data dictionary and an interface specification special for the electric power field; s3, on the basis of the data dictionary and the interface specification special for the power field, constructing a DSL (field specific language) of power visualization; s4, a dragging type interactive design is adopted, and the visual operation is converted into a DSL configuration file; and S5, automatically converting the DSL configuration into a React or Vue component code through a code generation engine, and carrying out compatibility optimization on the kernel of the creative browser. According to the invention, the power credential development efficiency is effectively improved.

The invention provides a heterogeneous computing power resource pooling scheduling platform which comprises a task and resource tensor construction module, a scheduling decision module, a breakpoint state generation module and a rescheduling and recovery module. According to the platform, task requirements and node resources are modeled into a tensor structure in a unified mode, and accurate initial scheduling is achieved through a structured scoring function containing conditional penalty terms. In the task running process, interruption judgment is carried out based on the node dynamic state and the scheduling score, and a breakpoint state tensor containing an execution state is generated. When interruption occurs, a proper node is selected through compatibility screening, and task seamless migration and execution recovery are realized by utilizing the stored state. According to the method, the technical problems of non-uniform resource expression, lack of scene adaptability and incapability of realizing uninterrupted migration in a heterogeneous computing power environment are solved, and the resource utilization rate and the service continuity are remarkably improved.

A computing system is disclosed for generating fulfillment-ready coordination sessions based on tokenized item data and user-submitted participation parameters. The system ingests structured, semi-structured, or unstructured item data from merchant sources and applies schema-aligned transformation logic to normalize the data into structured item representations. The normalized records are tokenized into machine-readable item tokens that encode fulfillment constraints and canonical attributes. The system receives user item selections and associated participation parameters, encodes the item tokens and participation data into structured vector embeddings, and applies compatibility scoring logic using vector comparison and rule-based threshold evaluation. Compatibility scores are evaluated against session eligibility constraints derived from the item tokens. When eligibility conditions are met, the system generates a coordination session payload comprising match outcomes, proportional pricing, and fulfillment metadata, and issues orchestration instructions to external fulfillment systems for group-based delivery or preparation execution.

The invention discloses a method for testing compatibility of creative application software based on big data storage. The method comprises the following steps: acquiring environment and version information to generate fingerprints; similar evidence extraction failure feature clusters are recalled; evaluating a case risk sequence based on the cluster and evidence; a version difference event mapping graph is used for obtaining a seed; spreading the seeds to obtain an influence domain and generating an increment regression set; the duplicate removal execution cases are combined, and receipts and judgment are output; inference of a minimum cost explanation path is hit by the failure case atlas; obtaining a consensus root cause according to the explanation path, and generating complementary measurement and verification; and verifying the gating updating atlas and precipitating new evidence to drive self-updating. According to the method, incremental regression and root cause interpretation updating are realized by utilizing differential propagation and anti-fact verification closed loop of the environment and version fingerprints and the compatible relationship knowledge graph, and the method has the advantages of high efficiency, high coverage and high credibility.

The invention discloses a multi-version upgrading method and device based on distribution, equipment and a medium, and relates to the technical field of distribution. The method comprises the following steps: in response to a version upgrading operation event of a target object, performing metadata marking, multi-modal verification and increment extraction on the target object to obtain version upgrading data and a version upgrading type of the target object; wherein the target object comprises system data, a second-open script and an application source code; acquiring a baseline version of the target object from a multi-mode version database according to a version identifier in the version upgrading data; based on the version upgrading type, determining a target version of the target object according to the version upgrading data and the baseline version; and performing compatibility verification on the baseline version and the target version to obtain a compatibility evaluation report of the target version, and deploying the target version according to the compatibility evaluation report. According to the technical scheme, the reliability and efficiency of system version iteration can be improved.

The invention discloses an AI model security protection system and method based on a domestic cryptographic algorithm and a digital certificate. The system comprises a certificate management center CA, an AI model security gateway, a training terminal and a deployment server, wherein the certificate management center CA is a certificate management system of a third-party trusted certificate management center CA mechanism; the AI model security gateway is used for security access and compliance verification of training data; the training terminal is used for security initialization of the model development terminal and generation of a security model package, and is terminal equipment used by a developer for model training; and the deployment server is used for security management and control of the model operation end. The method comprises the following steps: firstly, carrying out data encryption and model certificate binding; identity authentication and transmission encryption are carried out; then, integrity verification and tampering prevention are carried out; and finally, version traceability and legality verification are carried out. According to the method, the security of the AI model and the model transmission and verification efficiency are improved, the whole-process traceability of the model is realized, the compatibility is high, and the method is easy to popularize.

The invention discloses a virtual space multi-person interaction synchronous control method oriented to an end-cloud collaborative architecture. The invention relates to a computer graphics and three-dimensional modeling technology, and discloses a cross-format lightweight and geometric consistency maintenance method based on a three-dimensional model. Through format-independent geometric representation and a self-adaptive lightweight strategy, efficient compression and precision maintenance of three-dimensional model cross-format conversion are realized. The method specifically comprises the following steps: performing format analysis and geometric feature extraction on an input model, and establishing a unified internal representation; adaptively selecting a multi-level LOD lightweight strategy based on the complexity of the model; the accuracy of key information is ensured through geometric feature keeping and topology consistency detection; the geometric consistency is dynamically maintained by combining error monitoring and an iterative correction mechanism; and generating a target format lightweight model and carrying out quality verification. According to the method, adaptive precision control, multi-level consistency maintenance and format irrelevant processing are combined, the model size and conversion errors are effectively reduced, and cross-platform compatibility and geometric fidelity are improved. The method can be widely applied to the fields of industrial design, game development, virtual reality and the like.

The invention discloses a debugging system and a debugging method of an RISC-V architecture, and relates to the field of processor debugging, the debugging system comprises a debugging host, a transport layer interface, a debugging module, a debugging logic module in a processor core and a monitoring module, and all the components are in communication connection in sequence. According to the invention, by supporting an RV32 / RV64 double-word-length processor, being compatible with a U / S / M full privilege level operation mode and adapting to various mainstream open-source RISC-V cores and self-defined cores, compared with the existing scheme only supporting a single architecture variant, the method does not need to reconstruct debugging logic for different core types, reduces the core adaptation cost, does not need to customize a debugging instruction or a tool chain process, and has the advantages that the debugging efficiency is improved, and the debugging cost is reduced. Through the register and protocol standardization, the method has high compatibility, and the cross-platform debugging cost is reduced.

The invention discloses an optimization method, system and device for an audio production test system and a storage medium, and relates to the technical field of audio, and the method comprises the steps: building a multi-level code scanning data return stabilization mechanism, and guaranteeing the uploading reliability of code scanning data in a production test process through a local buffer queue, network state real-time evaluation and an intelligent retry strategy; constructing a multi-version application processor AP compiling adaptation framework, and automatically loading corresponding function libraries and compiling parameters through version automatic identification, compatibility index evaluation and dynamic link library management; a cross-platform compatible work order query interface is constructed, the work order query interface is dynamically rendered through a self-adaptive layout algorithm, a compiling adaptation frame suitable for different AP versions is adopted, dynamic link library management and automatic compiling parameter configuration are combined, the universality and expansibility of a tool are greatly improved, meanwhile, a cross-platform interface self-adaptive rendering technology is adopted, and the working efficiency is improved. Therefore, the work order query tool can provide consistent user experience under multiple operating systems.

Various embodiments set forth techniques for generating computer-aided design (CAD) models that include generating a plurality of geometric prompts based on a plurality of inputs, wherein the plurality of inputs indicate that at least one CAD model to be generated is to be compatible with at least one manufacturing practice, executing a trained machine learning model on the geometric prompts to generate CAD data, and generating the at least one CAD model based on the CAD data, wherein the at least one CAD model is compatible with the at least one manufacturing practice.Advantageously, the disclosed techniques can substantially facilitate the overall process of designing CAD objects and CAD models of differing levels of complexity, thereby increasing the accessibility of CAD software and applications to a wider array of users with differing skill sets while remaining in alignment with accessible manufacturing practices.

The invention relates to the technical field of artificial intelligence, and discloses a business process configuration method based on Activiti and AI decision, and the method comprises the steps: collecting the historical execution data of a business process through a process instance monitoring module, generating a process behavior feature data set, carrying out the training processing of an AI decision model based on the process behavior feature data set, and carrying out the analysis of the AI decision model. A business process decision tree model is constructed, AI decision routing labels are configured for decision nodes in an Activiti process engine, non-intrusive intelligent decision integration is achieved, and when a process instance is executed to a key decision node, a system automatically calls the pre-trained business process decision tree model to conduct real-time path analysis and generate an optimal dynamic routing instruction. The problem of decision stiffness caused by the fact that a traditional workflow depends on artificial experience configuration is solved, the accuracy and adaptability of flow branch selection in a complex service scene are improved, and meanwhile the compatibility and stability of an original flow engine are guaranteed.

The invention relates to the technical field of artificial intelligence, in particular to a browser-side AI reasoning system and method based on TensorFlow.js. The browser-side AI reasoning system and method based on TensorFlow.js comprises the following steps of model loading and initialization, equipment performance detection and model selection, input data collection and preprocessing, reasoning task scheduling and execution, result analysis output and visual export. Model cache updating maintenance and performance monitoring dynamic adjustment and optimization are carried out; the method has the beneficial effects that a set of complete front-end AI reasoning flow control mechanism is provided; realizing model dynamic adaptation based on equipment performance; various input forms are supported; a main thread is prevented from being blocked by utilizing multi-thread scheduling; a GPU acceleration and mixing precision calculation mechanism is introduced to improve the reasoning efficiency; establishing a model caching mechanism to improve the loading speed and the offline availability; performance monitoring and dynamic tuning functions are provided, and reasoning stability is ensured; providing a structured result output and visual display interface; a model version control and background hot update mechanism is realized; and the security, compatibility and expansibility of the system are improved.

The invention relates to the technical field of intelligent interface generation, in particular to an interactive interface generation method and system, computer equipment and a medium. The method comprises the following steps: receiving a multi-protocol interaction request, and extracting natural language context information carried in the multi-protocol interaction request through a protocol processing layer; according to the natural language context information, executing cue word processing to generate interface generation trigger judgment; when the interface generation trigger judgment indicates that an interface needs to be generated, generating an interface mode definition instance based on the natural language context information and a preset cue word template; and according to the interface mode definition instance, generating an interactive interface through a rendering output device. In this way, the technical problem that in an existing interface generation technology based on natural languages, it is difficult to collaboratively optimize the interface dynamic adaptation capacity and the system expansibility is solved, and the intelligent level, cross-platform compatibility and service response agility of interface generation are improved.

The invention discloses an eBPF-based non-intrusive application runtime protection method and system, and the method comprises the steps: firstly collecting BTF information of a target operating system, generating an eBPF kernel program adaptive to a local kernel version according to the BTF information, and loading the eBPF kernel program to an LSM control point of an operating system kernel; generating legal behavior description configuration according to known operation information of the protected application, and distributing the legal behavior description configuration to a corresponding storage mechanism of an eBPF Map in a kernel; when a protected application initiates a system call, an eBPF kernel program mounted on a corresponding LSM control point intercepts and queries legal behavior description configuration in an eBPF Map, if the system call is matched with the legal behavior description configuration, execution is allowed, and if the system call is not matched with the legal behavior description configuration, the call is blocked, so that the application is effectively protected during running, and the method has the non-invasive characteristic. Application codes are prevented from being modified; the kernel is adapted based on BTF information, so that the program stability and compatibility are guaranteed; illegal calling is effectively prevented through a legal behavior description mechanism, and a reliable environment is provided for application running.

Embodiments of the invention disclose a slow node detection method and apparatus, a device, a storage medium and a program product. The method comprises the steps of obtaining respective first duration data of a plurality of processing nodes participating in distributed model training; the first duration data represents the calculation time consumption of the corresponding processing node in the current iteration; based on a parallel strategy trained by the distributed model, grouping the first duration data to obtain a first duration set of multiple groups; the parallel strategy represents an association relationship of the plurality of processing nodes in a forward and backward propagation process and training tasks undertaken by the plurality of processing nodes; and based on the respective probability density function and a first threshold value of the plurality of groups, respectively analyzing and processing the first duration sets of the plurality of groups to obtain slow nodes in the plurality of processing nodes. Thus, the slow nodes in distributed model training can be intelligently and accurately detected, the efficiency and accuracy of slow node detection are improved, and the method has high compatibility.

The invention discloses a unified access method and system for peripheral equipment of a swan monk system based on hardware abstract virtualization, and relates to the technical field of peripheral equipment management of an operating system. A structured data set S is constructed by detecting a peripheral equipment access event and collecting equipment description information and physical response data of the peripheral equipment; the method comprises the following steps: carrying out data fusion modeling, obtaining an equipment access qualification index Iconn, evaluating the stable state of equipment, carrying out packaging processing on peripheral equipment in the stable state, then carrying out function stability analysis, obtaining a function stability index Fstab, carrying out coupling modeling on the function stability index Fstab and the equipment access qualification index Iconn, obtaining the equipment access qualification index Iconn, and carrying out data fusion modeling on the equipment access qualification index Iconn. According to the method, the peripheral operation state is evaluated, and the peripheral connection state is regulated, so that the peripheral access compatibility is enhanced, the system identification accuracy and the access success rate are improved, and intelligent management of the peripheral access full life cycle is realized.

The invention provides a self-service terminal hardware service driving method, system and device for achieving cross-platform self-adaption and a medium, and belongs to the technical field of hardware service driving. The method comprises the steps that a front-end application is received to generate a hardware service request; the service bus dynamically loads a corresponding hardware service plug-in from a plug-in library according to the target hardware identifier; the interface adaptation layer selects a protocol template according to the interface type, and injects an operation parameter into the selected protocol template to generate an intermediate instruction; the loaded hardware service plug-in converts the intermediate instruction into a platform-independent hardware instruction; the platform adaptation layer detects the type of a current operating system, and calls a corresponding bottom driver library to convert a platform irrelevant hardware instruction into an operating system level hardware instruction; and sending an operating system level hardware instruction to the physical hardware, packaging a return result into a uniform response format, and returning the return result to the front-end application. According to the invention, cross-platform adaptive hardware driving is realized, and compatibility, flexibility and maintenance efficiency are improved.

The invention discloses a software quality evaluation method based on dependency chain quality conduction, relates to the technical field of software quality evaluation, and is used for solving the problem that quality conduction between software is difficult to quantify. According to the method, the dependency chain graph covering the component dependency relationship, the version pedigree and the quality index is constructed, the evidence reliability label and the license list are combined, the target component and the conduction path which do not meet the quality evaluation threshold value are accurately recognized, the semantic mapping of the target component and the business function domain is constructed, and in the path conduction analysis stage, the quality of the target component is analyzed. A constraint propagation and causal checking mechanism is introduced, influence is transmitted layer by layer, a real path and an interference path are automatically identified, a comprehensive quality measurement item and a quality grade label of a target component are generated, when evaluation is not met, an upgrading, replacing, isolating or rollback scheme is automatically constructed, compatibility, time window and test influence of the scheme are evaluated, and a test result is obtained. And a closed-loop repair path and a treatment guide are output, so that the response efficiency and decision-making reasonability of the software quality problem are improved.

The invention provides a code migration method and system based on holographic environment perception and dependent coevolution, and relates to the technical field of code migration. Comprising the following steps: analyzing a Java source code and a configuration condition of the Java source code; determining a target JDK version, combining a JDK compatibility rule and a knowledge base, identifying a part needing to be modified in the Java source code based on a large language model, and generating a modified code; modifying the configuration condition of the Java source code to obtain a modified configuration condition; the modified codes and configuration conditions are applied and verified; generating a migration report based on the verification result; and obtaining feedback of the developer to the migration report, and circulating until the modified code and the configuration condition are confirmed by the developer to obtain the target Java item after code migration. According to the method, the JDK upgrading efficiency is improved, the upgrading success rate and quality are improved, and upgrading failures caused by configuration omission or dependency problems are reduced.

The invention discloses a manufacturing method of an installation package and a related device, and relates to the technical field of software engineering. Comprising the steps that a target MakeFile is created, and other instruction items, except for an install instruction item and a unstall instruction item, in the target MakeFile are all empty; obtaining a target compressed package corresponding to the target software; based on the target MakeFile and the target compressed package, constructing an initial project; adding a management script of the target package in the initial project to obtain a target project; and based on the target project, generating a target installation package corresponding to the Kylin Linux operating system. The manufacturing method of the installation package does not depend on source code reconstruction, a large amount of workload for compiling and maintaining complete Makefile in a traditional scheme is omitted, the packaging period is greatly shortened, and meanwhile the compatibility and integrity of the installation package are guaranteed.

The invention discloses a class preloading method and device for Java micro-service cold start acceleration, and belongs to the technical field of cloud computing and Java virtual machine optimization. The method comprises the steps of class dependency analysis based on a historical call chain, hierarchical class preloading execution and shared memory snapshot management. The device comprises a class analysis engine, a preloading decision maker and a memory snapshot management and JVM optimization adaptation module. Through intelligent analysis of class popularity, hierarchical preloading and combination of a cross-JVM instance memory sharing technology, the Java micro-service cold start time is reduced from average 4.2 s to 0.8 s, memory occupation is reduced by 45%, compatibility with a standard JVM and a mainstream framework is kept, and the method is suitable for financial transaction, real-time recommendation and other micro-service applications in a Serverless scene.

The embodiment of the invention provides an interface testing method and device, electronic equipment and a storage medium. The method comprises the following steps: executing static code analysis on a to-be-tested system to obtain a code interface list, and executing dynamic flow analysis on the to-be-tested system to obtain a flow interface list; determining an interface document of the to-be-tested system, and analyzing the interface document through a pre-trained large language model to obtain a document interface list; and respectively testing the document interface list through the code interface list and the flow interface list to obtain a test result. According to the scheme, the interface document is analyzed through the large language model, various formats can be compatible, the compatibility of the interface document is improved, and therefore the test accuracy is improved.

The invention discloses a multi-architecture chip compatible localized cloud platform virtualization method, which is suitable for a localized cloud computing environment constructed by taking a localized CPU (Central Processing Unit) as a core. Comprising the following steps: when a plurality of domestic CPUs and compatible architecture information are collected at a bottom layer of a domestic cloud platform, establishing a unified hardware abstract model; constructing a virtualization compatibility layer on a domestic cloud platform virtual machine monitor; designing a cross-architecture virtual device agent module, and redirecting a domestic peripheral driver; and a unified scheduling and security isolation strategy is constructed, and efficient cooperation and trusted operation of the multi-architecture virtual machine under the localized cloud platform is realized. According to the method, instruction-level compatibility and unified operation environment construction of the heterogeneous chip in the localized cloud platform are realized, and the performance and stability of cross-architecture migration of the virtual machine are remarkably improved.

Computer-implemented methods and associated hardware for static trusted execution environment for inter-architecture processor program compatibility are disclosed herein. A device (e.g., a Reduced Instruction Set Computing-Five (RISC-V) device), may emulate a static trusted execution environment (e.g., ARM TrustZone) using physical memory protection (PMP). A regular world may have access to only a portion of an address space of the device, while a secure world may have access to the full address space. A secure world identifier (SWID) may be stored in a configuration status register (CSR) only accessible by a mode (e.g., machine mode). When an entry is added to a translation lookaside buffer (TLB), the SWID may be added as part of a tag to differentiate secure world entries from regular world entries.

The invention provides a multi-dimensional and dynamic digital assessment system and assessment method. Comprising a support module (comprising an index knowledge base, an algorithm operation base and an evaluation model base), a multi-source index fusion center (for constructing a three-dimensional data model and integrating a multi-dimensional data resource pool), a dynamic rule configuration engine (for realizing flexible configuration through a visual interface, a model adaptation mechanism and double-track verification) and a core business module (for managing assessment indexes, evaluating indexes and evaluating indexes). And evaluating the model and plan). The support module lays a basic resource layer, a fusion center constructs a data base, a configuration engine realizes flexible verification, the business module drives full-process execution, and full-process digital management from index creation, model configuration to examination execution is realized. The problems of iteration lag, multi-scene adaptation redundancy, weak data verification and the like of a traditional system are solved, index legality is guaranteed through static grammar detection and dynamic simulation operation, data traceability is achieved through a temporary database and full-link recording, and the dynamic response capacity, scene compatibility and data reliability of the assessment system are improved.

An MLOps extension method and apparatus in a multi-cloud native environment, and a medium, relating to the technical field of multi-cloud heterogeneity. The method comprises: receiving a user-defined infrastructure template, configuration parameters, and access credentials of different cloud platforms, and collecting cloud computing resources from a plurality of clouds; putting model code and a data processing script into a version control system, and uploading data to a data storage service; pre-allocating computing resources and storage resources, and installing and verifying all dependencies in a pre-deployment environment; creating isolated sandbox environments on the cloud platforms to run comprehensive simulation tests; packaging models and applications, and deploying same in production environments on the cloud platforms; configuring a monitoring tool to monitor the performance of the models and the applications in real time, and on the basis of monitoring data, optimizing model parameters and application configurations. The present invention can reduce incompatibility and failures in a multi-cloud environment, and improve the reliability and efficiency of model services and continuous application deployment.