40 results about "Resource virtualization" patented technology

The invention provides a resource intelligent bus and task parallel hydrogen energy data scheduling optimization method and system, relates to the technical field of energy, and aims to solve the problems of resource heterogeneity, lack of real-time performance and dynamic adjustment, insufficient energy efficiency optimization, poor adaptability to abnormal working conditions and the like in the prior art. According to the method, a resource intelligent bus architecture is constructed, and the resource intelligent bus architecture comprises a resource virtualization encapsulation layer, a resource state sensing layer and a global prediction and scheduling layer; in the resource state sensing layer, performing multi-granularity task decomposition on hydrogen energy business requirements, and establishing an inter-task dependency relationship model by adopting a directed acyclic graph; in the global prediction and scheduling layer, a multi-objective optimization model is constructed based on a dependency relationship between resource states and tasks, and resources and tasks are dynamically matched according to an optimal solution of the model; and dynamically scheduling the resources according to a matching result of the resources and the tasks. The problems in the prior art are solved, and the hydrogen energy data scheduling optimization performance is improved.

The invention relates to a software load computing resource virtualization allocation method and device, equipment and a medium. The method comprises the following steps: acquiring a task description vector of a task and real-time state data of computing resources; according to the task description vector of the task and a preset historical performance database, computing resources needed when the task is started are analyzed, and a starting feature vector is obtained; according to the starting feature vector and the real-time state data, calculating a computing power hotspot distribution diagram of the starting task; the computing power hotspot distribution map is used for representing the use condition of each computing resource at different time points when the task is started; based on the computing power hotspot distribution map, the task description vector and the real-time state data, simulating a competition condition when the task is started, and obtaining resource competition intensity quantitative data; generating a task pre-allocation scheme according to the resource competition intensity quantitative data and the real-time state data; the pre-allocation scheme is used for representing the allocation relationship between the task and each computing resource. By adopting the method, the computing power resource utilization rate can be improved.

The invention relates to a computing power resource virtualization isolation and multi-level scheduling method and system in a containerization environment, and the method comprises the steps: deploying an index collector on each working node of a Kubernetes cluster, and collecting the node computing resource utilization condition in real time; when a calculation task request submitted by a user is received, the Kubernetes API server performs field legality verification on the configuration file submitted by the user and stores the field legality verification; executing a computing power resource multi-level scheduling algorithm according to a configuration file submitted by a user and a resource utilization condition, and finding a working node with the highest adaptation degree as an optimal node; the user-defined scheduler sends an instruction to the optimal node, requires the optimal node to create a vGPU and a Pod, and mounts the vGPU to the corresponding Pod to run a calculation task; and recording vGPU distribution information of the optimal node, storing and updating the cluster. According to the invention, computing power resource sharing and isolation are realized, and the resource utilization rate is improved.

The invention discloses a coordinated regulation and control method for a comprehensive energy system to participate in multiple frequency modulation services of a power grid, and the method comprises the steps: collecting the operation state data of four resources, carrying out the preprocessing of the operation state data, obtaining the original data of the resources, constructing four resource virtualization energy storage models, and bringing the original data of the resources into the four models. The method comprises the following steps: respectively obtaining adjustable energy and power boundaries, constructing a virtual energy storage model, uniformly mapping four resources into a virtual energy storage data set through the virtual energy storage model, substituting the virtual energy storage data set into a multi-frequency modulation collaborative optimization model, obtaining an optimal scheduling result, and realizing model flexibility. And the coordination control between each subsystem in the IES and the power grid is realized, and the coordination operation mechanism of multiple auxiliary service markets is perfected.

The invention discloses a sensing, calculation and control integration-oriented resource virtualization and real-time scheduling method, and relates to the field of resource management.According to the method, heterogeneous processors with different architectures are subjected to standardized description by constructing a heterogeneous processor resource representation model, so that the heterogeneous processors can be perceived and managed in a machine space; on the basis, through a sensing, calculation and control integrated design, sensing, calculation and control multi-type task scheduling oriented to the heterogeneous multi-core processor is further supported; the isomerism of a processor and the operation characteristics of different types of containers are quantified through theoretical analysis, and the'resource '-'service quality + energy consumption expression' mapping relation among service quality, real-time performance, energy consumption and container allocation strategies, task processing proportions and processor operation frequencies is quantitatively described to construct a scheduling problem model. According to the method, the resource utilization rate of the processor can be improved, so that the real-time guarantee of sensing, calculating and controlling multiple types of tasks in a resource shortage scene is realized, and the overall service quality and energy consumption performance of the system are improved.

The invention discloses a heterogeneous AI computing power resource segmentation and scheduling method and system, and the method comprises the steps: recognizing the type of a heterogeneous AI computing power card accessed to a current server and hardware resource parameters of the heterogeneous AI computing power card, and carrying out the abstract modeling to generate a logic resource model; dividing a computing core and a video memory of a single heterogeneous AI computing power card into at least one independent virtual computing power instance through a resource virtualization technology on the basis of the constraint of a logic resource model; and in response to a computing task request, mounting the virtual computing power instance to a computing task in a containerization form, and dynamically scheduling the virtual computing power instance based on the demand of the computing task. Standardized logic resource units are generated through the minimum segmentation unit, and the utilization rate and scheduling flexibility of heterogeneous AI computing power resources are remarkably improved.

The invention provides a heterogeneous resource virtualization annotation and knowledge base creation method and system, and the method comprises the steps: obtaining a plurality of types of heterogeneous science and technology project resource sets, carrying out the cross-modal semantic feature extraction operation, and generating a cross-modal resource semantic feature set; constructing a semantic association network based on the cross-modal resource semantic feature set, performing a cross-modal virtualization mapping rule mining operation through the semantic association network to generate a cross-modal virtualization mapping rule set, and performing virtualization labeling processing on the heterogeneous science and technology project resource set through the cross-modal virtualization mapping rule set. Generating a virtualized annotation data set; and constructing an evolutionary heterogeneous resource knowledge base based on the virtualized annotation data set, wherein the evolutionary heterogeneous resource knowledge base comprises a concept unit, a relation unit and an attribute unit. By adopting the method provided by the invention, the organization, management and application level of heterogeneous resource knowledge can be effectively improved.

The invention discloses a switching communication device, a switching communication method and a server, relates to the technical field of computers, and realizes equipment-level decoupling and resource pooling basis by actively managing a GPU (Graphics Processing Unit) through a second interface configured to be in a root complex mode. The on-chip management system and the switching logic module form a control core, a data switching strategy is dynamically executed, and conversion from passive forwarding to autonomous management is achieved. And the virtual port module performs software definition and dynamic allocation on network resources, so that the flexibility of resource utilization is improved. Meanwhile, MAC ports in two modes of direct connection and exchange are supported, so that the device can flexibly construct a high-performance direct connection network or a large-scale exchange network, and the limitation of fixed topology is broken through. And the data processing module ensures high efficiency of data conversion between different interface protocols. According to the device, the communication efficiency and schedulability between the GPUs are improved by integrating high-speed exchange, intelligent management, resource virtualization and flexible networking capabilities.

The invention discloses a 1588 network card device, system, equipment and medium supporting synchronous clock resource virtualization, and belongs to the technical field of power system energy storage equipment, comprising clock synchronization, network card resource virtualization and network card clock virtualization. The clock synchronization comprises neighbor rate ratio, delay measurement, time offset and time convergence state offset; the network card resource virtualization comprises a physical function and a virtual function; the network card clock virtualization comprises a bottom-layer physical clock source, a virtual logic clock source, a PFTIMER and an upper-layer virtual timer, and has the beneficial effects that three core problems of multi-clock domain management, virtual machine clock isolation and high-precision timing in a multi-core heterogeneous system are solved through a hardware clock virtualization layered architecture; the complexity of system software is remarkably reduced, the real-time performance is improved, and a basic clock support is provided for a next-generation intelligent network card.

The application discloses a kind of switching communication device and method, server, it is related to computer technical field, by being configured as the second interface of root complex mode actively manages GPU, equipment level decoupling and resource poolization foundation are realized.The on-chip management system and switching logic module constitute control core, dynamically execute data exchange strategy, realize from passive forwarding to the change of autonomous management.Virtual port module carries out software definition and dynamic allocation to network resource, improve the flexibility of resource utilization.Meanwhile, support the MAC port of two modes of direct connection and switching, so that device can flexibly build high-performance direct connection network or large-scale switching network, break the limit of fixed topology.Data processing module then ensures the efficiency of data conversion between different interface protocols.The device improves the communication efficiency and schedulability between GPUs by integrating high-speed switching, intelligent management, resource virtualization and flexible networking capabilities.

A resource management mechanism oriented to distributed multi-quantum equipment comprises quantum computing resource virtualization, an independent QPU equipment topological structure in a distributed quantum computing environment and a connection relation between QPUs are abstracted into a graph data structure, and updating is carried out according to the real-time state of the quantum equipment. When real quantum computing resources in the system are insufficient, a super computer is used for simulating execution of a quantum circuit; a line scheduling mechanism in a distributed quantum computing environment determines whether a quantum line needs to be cut based on a quantum device state in a system and a resource demand of the quantum line to be executed. When distributed quantum computing needs to be executed, a popularity / weak connectivity mapping optimization algorithm is adopted, and the fidelity of a quantum program is improved. According to the invention, a brand new solution is provided for managing quantum computing resources in a distributed computing environment, the utilization rate of the quantum computing resources is improved, and the execution fidelity of a quantum circuit is improved.

The invention discloses an intelligent integrated disaster recovery method and system, and the method comprises the steps: accessing a device of an X86 architecture and a device of an ARM architecture, and calling a control interface corresponding to each device in a preset heterogeneous device driver library; accessing a computing resource Computeri, a storage resource Storagei and a network resource Networki of each piece of equipment i through the control interface, and constructing a heterogeneous resource pool (ResourcePool); the method comprises the following steps: virtualizing each resource in a resource pool into a standardized resource unit based on a software defined storage and software defined network technology; extracting attribute parameters for each resource unit j to form a resource identification tuple Rj corresponding to the resource unit j, and constructing a uniform resource abstract view table VRDL = [R1, R2, R3,..., Rj,...]; service data synchronization is carried out based on the constructed resources, the service load is monitored for each resource unit j, and the resource load index Wt at the time t is calculated; and when the Wt exceeds a preset threshold value Threshold, triggering a disaster recovery prompt and executing a disaster recovery switching operation by using the VRDL.

The invention relates to a resource virtualization processing method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the steps that resource feature attributes of heterogeneous physical resources in a DPU recognition system are obtained, the types of the heterogeneous physical resources comprise computing resources, network resources and storage resources, and a uniform resource model is constructed based on the resource feature attributes; performing virtualization processing on heterogeneous physical resources of different computing examples in the uniform resource model, executing a preset resource mapping rule, mapping the heterogeneous physical resources of the different computing examples into a uniform virtual resource form, and obtaining a uniform virtualization layer; obtaining a resource allocation rule of various heterogeneous physical resources of different calculation instances in the unified virtualization layer; and performing resource allocation processing on the virtual hardware resources according to the resource allocation rule. By adopting the method, the accuracy of resource allocation can be considered while the real-time performance is ensured in a large-scale data center environment.

The application discloses an audio integrated network resource virtualization method, and belongs to the technical field of audio network resource management, and comprises the following steps: constructing a distributed virtual switching layer of a covering subnet, embedding a virtual switch instance into a kernel state network stack of each physical host in a cluster, and dynamically mapping cloud hosts in the subnet to the physical host group through a consistent hashing algorithm; when the cloud host sends an audio data packet, the source physical host virtual switch instance performs the following steps: extracting a DSCP field and marking it as EF, encapsulating through a GRE-over-UDP tunnel, and replacing a target MAC address with a virtual MAC address of a next-hop virtual switch instance; after the virtual switch instance of the target physical host is unpacked, the audio packet is delivered to the target cloud host based on a virtual port forwarding table. Through the distributed virtual switching layer and the consistent hashing mapping mechanism, the method realizes efficient virtualization transmission of audio data, supports QoS guarantee and low-delay transmission, and is suitable for audio network resource management in a large-scale cloud environment.

The invention provides a power line communication resource virtualization collaborative networking method and system, and the method comprises the steps: carrying out the data collection and feature extraction of each node in a power line communication network, generating a communication feature vector, constructing a communication state sensing network based on the communication feature vector, constructing a virtual resource transaction market based on the communication state sensing network, and carrying out the resource virtualization collaborative networking. Performing pre-training by adopting multi-agent reinforcement learning, acquiring communication service demand data, generating a communication service resource demand list, inputting the communication service resource demand list into a virtual resource transaction market for resource transaction, generating an initial resource transaction contract, and performing resource transaction on the initial resource transaction contract; and processing the initial resource transaction contract based on a transaction contract generation mechanism, generating a resource transaction contract, executing the resource transaction contract, monitoring and obtaining a communication networking effect in real time, and performing feedback optimization according to the communication networking effect, thereby realizing efficient and reliable distribution of communication and computing resources.

The application relates to the technical field of distributed computing resource scheduling, and discloses a Xinchuang cloud resource scheduling method and system based on a multi-core architecture. The method comprises the following steps: collecting load data and chip integration information to generate real-time monitoring results; performing node grouping by using a load balancing algorithm according to the monitoring results to determine resource allocation requirements; when the node load exceeds a preset threshold, triggering a resource virtualization technology to perform resource remapping to obtain node resource configuration; constructing a cluster structure based on the new configuration and determining a resource reconstruction scheme; performing data migration according to the reconstruction scheme, generating a migration path by using a compatibility interface algorithm and verifying state synchronization integrity; when the synchronization is complete, activating a dynamic management strategy to optimize a resource allocation model. The application can improve the resource utilization rate and parallel processing capacity of the multi-core cluster, solves the problems of low efficiency and stability caused by uneven resource distribution and load surge in the Xinchuang cloud environment, and realizes efficient and self-controllable utilization of resources.

The application discloses a kind of multi-beam satellite communication system channel resource virtualization management methods, belong to satellite communication resource management technical field.The application is by deploying system-level channel management server, real-time acquisition each chassis baseband board card state, constructs and maintains the channel resource linked list including equipment health state, baseband board card quantity and detailed parameter.This method supports centralized exchange of service data, and data intercommunication across equipment and across board card can be realized by service exchange server;Network control center applies control or service channel as needed, server dynamically looks up table matching resource, completes configuration and synchronously updates resource linked list;Service channel needs to be bound with service exchange server IP and port to realize data interaction;When resource is released, it is accurately positioned to specified channel, and resource linked list is modified.This method can improve resource management efficiency and flexibility, and is suitable for complex satellite communication scenarios.

The invention relates to the technical field of unmanned collaboration and resource virtualization, and provides a task collaboration-oriented unmanned system virtual resource representation and organization method and device and a storage medium. The method comprises the following steps: firstly, determining physical resource virtualization granularity (platform level, equipment level and function unit level) according to unmanned collaboration styles (task level, resource level and element level); secondly, establishing a resource tree model comprising a resource base class, an attribute resource, a data table resource and a resource sub-tree based on granularity; resource storage is carried out by utilizing an organization structure constructed by a hash table, a list and a set; and finally, forming a resource pool through standardized packaging, providing management interfaces (resource registration, cancellation and state maintenance) and scheduling interfaces (demand response, resource allocation and release), and realizing resource addressing by adopting URI coding. According to the method, the problems of low task execution efficiency, insufficient resource utilization rate and complex management caused by poor coordination task and resource adaptability, non-uniform heterogeneous resource description and non-standard packaging are solved.

The invention provides a distributed edge machine room computing power integration method and system based on a DPU, and relates to the field of processors, and the method comprises the steps: transmitting parameter copy management data and consistency control function data to a DPU layer corresponding to a DPU card deployed in an edge machine room, and obtaining a target DPU layer; constructing a hardware hierarchical communication topology combining aggregation in the machine room and cross-machine room controlled transmission in the target DPU layer to obtain a target DPU, and executing bandwidth sensing, QoS scheduling, cross-machine room parameter coordination and traffic shaping control through the target DPU; the gradient processing and parameter synchronous control logic data corresponding to the edge machine room are transmitted to a target DPU, and hardware-level unloading and cross-machine-room intelligent scheduling are carried out through the target DPU; gPU resource virtualization and network virtualization control are carried out through the target DPU, so that the multiple edge machine rooms form a unified training resource pool logically, and a distributed edge machine room computing power integration result is obtained.

This invention relates to an open multi-core controller for agricultural machinery and its resource virtualization mapping method. It includes a core board module with a main control processing unit and an expansion board module consisting of input / output circuit units and a cascaded structure including at least two sub-control units. In the method, the main control processing unit generates control commands, and the sub-control units parse the control commands and control the state of electronic components in each topology multiplexing circuit according to the parsing results, thereby changing the electrical characteristics of each physical port and realizing dynamic switching of the same physical port between different operating modes. Compared with the prior art, this invention has advantages such as improved controller interface versatility, expansion flexibility, and ease of software and hardware upgrades and maintenance.

The invention, which relates to the technical field of the data communication network, discloses a multi-service-bearer-oriented production control dedicated data network layered architecture system comprising a physical resource layer, a virtualization service layer, a service arrangement layer and a strategy management layer. The virtualization service layer provides a logically isolated resource pool through a resource virtualization and slicing technology; the service arrangement layer realizes optimal dynamic mapping from service flow to resources based on deep service awareness and a multi-objective optimization algorithm; the strategy management layer integrates security situation awareness and automatic operation and maintenance, and provides global strategy management and control. The invention aims to solve the problems of difficult service quality guarantee, low resource utilization rate and high security risk during multi-service bearing, realizes fine isolation, efficient scheduling and endogenous security of resources through cooperation of the layers, and ensures the service quality and network security of production control services.

The invention relates to the technical field of industrial automation and control, and discloses a sensing and calculation control fusion control method, an industrial control system and electronic equipment. The method comprises the following steps: acquiring multi-source heterogeneous industrial sensor data, generating an environment information model with unified semantics according to the industrial sensor data, and abstracting physical hardware resources into a virtual resource pool through a virtualization technology; automatically identifying a semantic analysis result of the to-be-executed task, and dynamically allocating computing resources from the virtual resource pool according to the semantic analysis result based on a preset dynamic scheduling algorithm; and after the scheduled computing resources are obtained, according to the environment information model, multi-source information is fused to generate an intelligent control instruction, and the intelligent control instruction is issued. The architecture idea of hierarchical decoupling and unified scheduling is adopted, a control method with resource virtualization as a basis, intelligent scheduling as a hub and hybrid drive as a core is constructed, multi-modal sensing processing, intelligent calculation and a high-reliability real-time control kernel are fused in the controller, and physical barriers and communication bottlenecks are eliminated.

The invention discloses a multi-beam satellite communication system channel resource virtualization management method, and belongs to the technical field of satellite communication resource management. According to the method, the system-level channel management server is deployed, the state of the baseband board card in each case is collected in real time, and the channel resource linked list containing the equipment health state, the number of the baseband board cards and detailed parameters is constructed and maintained. According to the method, centralized exchange of service data is supported, and cross-equipment and cross-board data intercommunication can be realized through a service exchange server; the network control center applies for a control or service channel as required, the server dynamically looks up the table and matches resources, and the resource chain table is synchronously updated after configuration is completed; the service channel needs to be bound with an IP and a port of a service exchange server to realize data interaction; when the resources are released, the designated channel is accurately positioned, and the resource chain table is modified. The method can improve the resource management efficiency and flexibility, and is suitable for complex satellite communication scenes.

The invention discloses a heterogeneous resource logic attribute semantic modeling method, and relates to the technical design field of surface ship combat systems, and the method comprises the following steps: building a semantic representation model based on SSN, carrying out semantic description from equipment basic information, capability characteristics, state attributes, position deployment and a control method, and forming a unified equipment representation model; based on an equipment representation model, a resource representation structure is defined through a resource virtualization technology, physical resources are converted into information service resources according to a unified representation mode, a virtual resource pool corresponding to actual sensing resources is formed, and autonomous dynamic scheduling among the physical sensing resources is formed through operation support on the virtual resources. According to the method, the standardized description of the original data of the resources is subjected to deep semantic analysis and annotation and is converted into a knowledge form which can be understood and intelligently processed by a computer, cooperative control among heterogeneous resources can be supported, and maximization of system efficiency is realized.

This invention provides a method and system for integrating distributed edge data center computing power based on DPU, relating to the processor field. The method involves: transmitting parameter replica management data and consistency control function data to the DPU layer corresponding to the DPU card deployed within the edge data center, obtaining the target DPU layer; constructing a hardware-layered communication topology combining intra-data center aggregation and cross-data center controlled transmission within the target DPU layer, obtaining the target DPU, which performs bandwidth awareness, QoS scheduling, cross-data center parameter coordination, and traffic shaping control; transmitting gradient processing and parameter synchronization control logic data corresponding to the edge data center to the target DPU, and performing hardware-level offloading and cross-data center intelligent scheduling through the target DPU; and controlling GPU resource virtualization and network virtualization through the target DPU, so that multiple edge data centers logically form a unified training resource pool, resulting in the distributed edge data center computing power integration.

This invention provides a perceptual deep learning resource virtualization energy efficiency optimization system, relating to the field of energy efficiency optimization technology. It includes a centralized control platform responsible for overall reactive power coordination and control optimization, and issuing reactive power control commands to subordinate substations; a field automatic controller for receiving SVG signals and commands from the centralized control center in three operating modes; a field device layer including an FC automatic switching electrical cabinet that receives commands from the field automatic controller and controls the on / off switching of internal contactors, thereby achieving automatic capacitor switching; the centralized control platform also includes a dot matrix mapping module; the dot matrix model automatically generates the topology, requiring only the addition of corresponding feature nodes when adding / modifying distribution network equipment, shortening the graphic update time; maintenance personnel can quickly grasp the distribution network status without viewing backend data; the dot matrix graphic links historical data with real-time control strategies, assisting maintenance personnel in accurately judging FC switching needs, avoiding blind operation, and reducing the number of voltage fluctuations caused by improper control.

The application discloses a parallel task scheduling method based on node dynamic load and task correlation measurement, constructs a global scheduler of calculation resource virtualization and sample distribution based on reinforcement learning and a local scheduler based on hybrid driving model scheduling on a server; in a preprocessing stage: statistics calculation resource, carries out calculation resource virtualization, GPU virtualization multiplexing technology, GPU acceleration and the like; a global scheduling stage facing test task parallel optimization: carries out sample scheduling feasibility analysis containing fuzzy time, selects calculation node based on EXP3 algorithm, sample scheduling facing node load; a multi-level model parallelization stage based on domain knowledge and data hybrid driving: contains model cohesion coupling degree measurement mechanism, model coupling mode knowledge base, multi-level model parallelization method. The application realizes sample inter-parallelism and model inter-parallelism in samples by comprehensively utilizing the global scheduler and the local scheduler, and has wide application value and use prospect in various fields.

The invention discloses a nuclear power plant DCS field layer CAN communication simulation system and a nuclear power plant DCS field layer CAN communication simulation method, which adopt a simulation system with a semi-physical architecture, dynamically convert a standard frame / extension frame of physical CAN equipment into a DCS recognizable signal through a bidirectional information mapping engine built in a protocol conversion gateway, and completely simulate CAN non-destructive arbitration logic. The core characteristics of the bus are completely restored; a data link layer fault is dynamically injected through a fault simulation unit integrated by the protocol conversion gateway, and node state machine conversion is realized through a TEC / REC counter; iD conflicts are eliminated through a built-in resource virtualization interface of the protocol conversion gateway in combination with a hierarchical arbitration strategy, meanwhile, communication delay is compressed to be smaller than or equal to 1 ms through a clock offset compensation algorithm, and the time sequence precision is improved by 10 times.

The invention provides a computing power resource virtualization and pooling method and device of an intelligent computing center, and relates to the technical field of intelligent computing centers, intelligent computing centers and computing power infrastructures. The method comprises the following steps: virtualizing a first GPU into N vGPUs, wherein the sum of the computing power of the N vGPUs is consistent with the computing power of the first GPU; and concentrating the N vGPUs into the same resource pool to obtain a target resource pool. Through the method, virtualization and pooling of the computing power resources of the intelligent computing center are achieved, all the vGPUs are independent of one another, operation of the other vGPUs is not affected under the condition that a certain vGPU executes a task, and the condition that the whole first GPU is used for executing a single task is avoided, that is, after virtualization and pooling of the computing power resources are conducted, operation of the other vGPUs is not affected. Different vGPUs can execute different tasks at the same time, so that the waste of computing power resources can be greatly reduced, and the utilization rate of the computing power resources is greatly improved.

The invention relates to the technical field of distributed computing resource scheduling, and discloses a credential cloud resource scheduling method and system based on a multi-core architecture. The method comprises the following steps: acquiring load data and chip integration information, and generating a real-time monitoring result; performing node grouping by adopting a load balancing algorithm according to a monitoring result, and determining a resource allocation demand; when the node load exceeds a preset threshold value, a resource virtualization technology is triggered to execute resource remapping, and node resource configuration is obtained; constructing a cluster structure based on the new configuration, and determining a resource reconstruction scheme; executing data migration according to the reconstruction scheme, generating a migration path by adopting a compatible interface algorithm, and verifying state synchronization integrity; and when the synchronization is complete, activating the dynamic management strategy to optimize the resource allocation model. According to the method, the resource utilization rate and the parallel processing capability of the multi-core cluster can be improved, the problems of low efficiency and stability caused by non-uniform resources and sharp load increase in a credential cloud environment are solved, and efficient and autonomous controllable utilization of the resources is realized.