136 results about "EntireX" patented technology

The invention discloses an open source software risk detection method and device based on an SBOM list, equipment and a medium, and relates to the technical field of software detection. The method comprises the following steps: acquiring an SBOM of target software, and analyzing component information of the SBOM; generating a feature character string according to the component information, and calculating a feature hash value through a hash algorithm; based on a known open source component, analyzing component information and vulnerability information of the component, calculating a feature hash value of the component, and storing the feature hash value to form a feature database; searching a matching item in a feature database based on the feature hash value of the target software component, and if the matching item is found, obtaining a license and vulnerability information of the target software component; if not, marking, manually judging and supplementing the data to the feature database; constructing a license compatibility matrix, and checking the compatibility of the obtained license and the overall license of the project; and comparing the acquired vulnerability information with a feature database, calculating vulnerability severity by combining a CVSS scoring model, and generating a priority repair report. According to the method, the software security detection speed and accuracy are improved.

The invention discloses a high-precision multi-modal twin model assembly method based on a large language model and a multiple docking optimization mechanism. The whole system framework is composed of three modules: a database, an interaction system and human factors. Wherein the database module integrates a model library module, a user interaction data recording module and a temporary data recording module, and is used for storing and managing various data information required for constructing a virtual scene; the interactive system module is used as a core part, integrates a model dynamic loading module, a model accurate positioning module and a model adaptive assembly module, realizes instruction analysis and model generation by relying on a large language model, and combines a multi-docking optimization mechanism of eye movement tracking, gesture recognition, automatic docking and logic rule binding to realize multi-docking. Efficient and accurate interaction between the user and the database is effectively guaranteed; the method not only provides a solid foundation for virtual experiments and virtual-real symbiosis, but also significantly improves the construction efficiency and precision of digital twin model assembly.

The embodiment of the invention provides a localized large-scale language model service method and related equipment. The localized large-scale language model service method comprises the following steps: acquiring a request load index of an inference service in real time; according to the request load index, a five-dimensional parallelism strategy is determined in a calculation iteration period, and the five-dimensional parallelism strategy comprises parallelism degrees of five dimensions including data parallelism degree, tensor parallelism degree, pipeline parallelism degree, sequence parallelism degree and expert parallelism degree; and reconstructing the parallel execution mode of the current service into the five-dimensional parallel strategy without interruption, and executing the five-dimensional parallel strategy. According to the technical scheme provided by the embodiment of the invention, the system can be dynamically switched among a plurality of parallel dimensions under the condition of load fluctuation, and the overall calculation cost is minimized on the premise of ensuring the service quality.

The invention belongs to the technical field of cloud computing container platforms, and particularly relates to an elastic capacity expansion and contraction scheduling method based on mixed scaling under multi-resource constraint. Comprising the following steps: monitoring index information of a k8s cluster based on a Kubernetes container management platform; the method comprises the following steps: constructing a vertical-horizontal collaborative elastic expansion framework, aiming at the problems of low utilization rate of horizontal expansion and contraction resources and upper limit of vertical expansion and contraction Pod resources in a single scaling mode, carrying out resource state division of multi-level thresholds based on hybrid control vertical elastic expansion and contraction scheduling according to a cost-benefit-based energy efficiency model under multi-resource constraint, and carrying out resource state division on the multi-level thresholds based on the hybrid control vertical elastic expansion and contraction scheduling; enabling the system to switch strategies in different pressure scenes; by dynamically balancing single instance resource allocation and the number of cluster instances, the resource cost is minimized on the premise of guaranteeing the service quality. According to the method, resource utilization can be optimized to the maximum extent, cost waste is reduced, and the efficiency and reliability of the whole system are improved.

The invention discloses a cloud side-end collaborative architecture and task unloading method for an airport apron intelligent monitoring system, and relates to the technical field of cloud side-end collaborative computing. Comprising a terminal layer, an edge server layer and a cloud server layer, the task unloading method of the system under the cloud side-end collaborative architecture is designed and comprises the steps that a task model, a time delay model, an energy consumption model and an accuracy rate model of the system are constructed, and a multi-objective optimization problem of time delay-energy consumption-accuracy rate is formed; modeling an optimization problem into a Markov decision process, and designing a state space, an action space and a reward function required by deep reinforcement learning; and designing a task unloading method based on multi-agent deep reinforcement learning, and finding an optimal task unloading strategy of the system. According to the method, the computing tasks can be dynamically, scientifically and reasonably distributed and cooperatively scheduled among the terminal, the edge and the cloud, so that the time delay, the energy consumption and the accuracy are comprehensively optimized, and the overall performance of the system is improved.

The invention provides a method and system for dispatching heterogeneous GPUs through cross-cluster management software, and relates to the technical field of GPU resource dispatching.The method comprises the steps that physical topology data, hardware specification data and historical task records of GPU nodes are obtained through the cross-cluster management software, an association degree matrix between GPU units is established, and a topology grouping set is generated; calculating a communication efficiency index based on topology detection analysis, constructing a topological graph model, and determining an optimal communication path of a multi-card task; generating a perception scheduling strategy in combination with a multi-objective optimization algorithm, and selecting an optimal GPU combination from the grouping set; in the task execution process, a scheduling strategy is dynamically adjusted according to the real-time cluster state and task efficiency data, continuous adaptation of a physical topological structure and task requirements is kept, and finally efficient collaborative scheduling of cross-cluster heterogeneous GPU resources is achieved. According to the method, the scheduling efficiency of heterogeneous GPU resources in a distributed computing scene and the overall performance of the system are improved.

The invention discloses a hot updating and hot loading method for a digital twin development management platform, and aims to solve the problems that in the prior art, it is difficult to quickly respond to data changes, it is difficult to ensure that a model can reflect the state of a physical entity in real time, and it is difficult to ensure the consistency and real-time performance of data in the collecting, transmitting and processing processes. The method comprises the following steps: in response to a platform hot update instruction, analyzing content needing to be updated and a corresponding hot patch; and updating a platform configuration file, a platform asset file and a project and scene file, and after updating is completed, loading the new project and scene file into the digital twin development management platform to ensure that the platform loads the latest settings, projects and scenes. According to the method, the data change is quickly responded under the condition of not interrupting the service, so that the model can reflect the state of the physical entity in real time, and the overall flexibility, reliability and efficiency of the platform are improved.

The invention relates to a shared GPU resource fair scheduling method and system based on multi-dimensional priority, and belongs to the field of cloud computing and container orchestration.The method comprises the steps that pooling and virtualization segmentation are conducted on physical GPU resources in a cluster, and a unified GPU resource pool is formed; calculating the comprehensive priority weight of the task according to the user level, the task type and the service quality in combination with a multi-dimensional priority model; a scheduling decision is made based on a weighted dominant resource fair algorithm, task priority weights and dominant resource proportions are comprehensively considered, and fair scheduling and optimal distribution of GPU resources are achieved; through a resource monitoring and feedback mechanism, the GPU utilization rate, the task execution state and the resource allocation result are monitored in real time, priority parameters and scheduling weights are dynamically adjusted, and finally fair scheduling of shared GPU resources is achieved. According to the method, intelligent allocation, resource sharing and fair scheduling of tasks can be realized in a GPU virtualization environment, and the scheduling efficiency and the overall cluster utilization rate are improved.

This invention belongs to the field of simulation software secondary development and specifically provides a method for running R language and deploying machine learning algorithms in the AnyLogic software environment. The method includes: creating a Jar package that carries the method; constructing a project main package, including two first-level subpackages, where the first first-level subpackage is composed of two second-level subpackages; porting the constructed project code data into the AnyLogic software environment, and using AnyLogic software to package the active objects contained in the project into a plug-in library that complies with AnyLogic software communication specifications; inserting the plug-in library into the AnyLogic IDE for testing and use; bridging the AnyLogic environment with mainstream R language machine learning packages through the plug-in library, and calling the return values ​​of the R language machine learning in real time during simulation experiments. This method overcomes the complexity and technical challenges of effectively integrating and using R language machine learning methods in AnyLogic, improving the predictive capabilities and overall simulation performance of the simulation model.

The invention discloses a visual cabinet based on JavaScript and Vue.js. A modularized architecture based on Vue is adopted to split a cabinet, equipment and a U bit into reusable UI components, the UI components comprise a cabinet component, an equipment component and a functional module, and the cabinet component is formed based on Rack.vue; the equipment component is formed based on Server Unit.vue, and is used for rendering different icons and status indicator lamps according to equipment types and supporting dragging to adjust the position of a U bit; the function module comprises a front-end framework, a UI (User Interface) library, a state management sub-module, a dragging library and a rear-end interaction sub-module; the front-end framework is Vue 3 Compression API (Application Program Interface) composite TypeScript, the UI library is composed of an Element Plus basic component and SVG / D3. Js used for customizing graphs, the state management sub-module is Pinia, and the drag library is Vue Dragable or native HTML5 dragmp; and the Drop API and the rear-end interaction sub-module are formed by compounding Axios with a WebSocket used for pushing real-time data. The invention further discloses a creation method. The method comprises the following steps: creating an overall skeleton based on HTML; rendering and beautifying the style based on the CSS; various operations are performed, the remaining capacity is automatically calculated, and machine information is displayed for verification.

The invention provides a code testing method and device, electronic equipment and a storage medium, and the method comprises the steps: responding to a to-be-tested code submission operation, and generating a target test case according to a to-be-tested abstract syntax tree and a to-be-tested demand document of a to-be-tested code; generating a target UI test script corresponding to the target test case according to interactive elements in the to-be-tested code user interface; and executing a test task constructed based on the target test case and the target UI test script to obtain a test result. The labor cost and the time overhead of a test link are remarkably reduced, a rapid feedback closed loop from code submission to test execution is constructed, and the software development efficiency and the quality guarantee capability are integrally improved.

The invention discloses a general assembly process virtual-real mapping method of a digital twin workshop and a monitoring system. The method comprises the following steps: S1, acquiring various production data in a final assembly process of a packaging workshop based on an OPC UA protocol and transmitting the data in real time; s2, constructing a behavior logic model based on a Petri network to describe a virtual entity motion rule; s3, constructing a 3D digital twin workshop model subjected to lightweight processing; s4, analyzing and decomposing complex behaviors of the production equipment, and cooperating with overall operation and control; and S5, simulation is carried out in the Unity 3D engine, and real-time driving and monitoring are realized. Wherein the data preprocessing comprises format unification, data screening and classified induction; real-time transmission relates to OPC UA client / server connection, and data is distributed to a database and Unity 3D; real-time driving is achieved by dividing motion data according to frames and calling motion scripts frame by frame. The system comprises a data module, a modeling module, a motion module and a driving module. The problems of model redundancy and system load are solved, and transparent, efficient and intelligent management of a production field is realized.

The embodiment of the invention provides an object interface testing method and device.The method comprises the steps that a testing script set of a to-be-tested object is obtained, the to-be-tested object comprises at least one to-be-tested node, and the testing script set comprises an initial testing script and at least one first testing script; the first test script is obtained according to a test operation corresponding to one of the to-be-tested nodes; executing the initial test script, and logging in an initial interface of the to-be-tested object; and based on the initial interface, respectively executing the at least one first test script according to the association relationship among the to-be-tested nodes, and obtaining an interface test result of the to-be-tested object. According to the embodiment of the invention, at least one first test script is executed according to the association relationship among the to-be-tested nodes, and the to-be-tested nodes can be tested in sequence, so that the interface test of the whole to-be-tested object is realized in one test process, and the interface test result of the whole to-be-tested object is obtained; manual compiling of test scripts is not needed, and test script execution efficiency is improved.

The application discloses a kind of underground mine three-dimensional entity model establishing method, device and medium.The method includes: S1, AutoCAD software imports two-dimensional drawing, and drawing is divided into different layers according to mining middle section;S2, clean up invalid graphics;S3, conversion line type, clean up layer;S4, process middle section broken line, closed loop;S5, target middle section DXF file is imported into GEOVIA Surpac software, generates str file;S6, adjust point elevation and line segment slope, generate floor str file;S7, adjust floor str file, generate top surface str file;S8, create floor and roof DTM model;S9, close bottom surface and top surface DTM model, form target middle section three-dimensional entity model;S10, combination forms overall three-dimensional entity model.The application makes full use of AutoCAD software to quickly process two-dimensional drawing on the advantages of messy point, redundant line and control layer, combined with GEOVIA Surpac software three-dimensional space modeling technology, improve the efficiency of two-dimensional plane figure to establish complex three-dimensional entity model.

The invention provides a data transmission method and device for a variable-length data class of a high-level architecture standard, and the method comprises the steps: constructing a standard data object of the variable-length data class in an object model template of the high-level architecture standard, and generating a federal standard file; calling a bottom support environment and data length analysis and release operation of a release processing function based on a federal standard file through a data sending end federal member, and releasing transmission data of a variable-length data class to a distributed network; through the data subscription end federation member, the bottom layer supporting environment and the callback function of the variable-length data class are called based on the federation standard file, the transmission data of the variable-length data class are received, direct and efficient transmission of the dynamic length data is achieved, the data bearing flexibility and the operation efficiency of the simulation system are remarkably improved, and the simulation efficiency is improved. The development and maintenance process is simplified through a standardized interface, and the overall expandability of the system is enhanced on the basis of being completely compatible with an existing framework.

The present application discloses a method for deploying and maintaining a software system, a deployment and maintenance system, and a service platform. The present application deploys a dynamic component device at least in the environment to which the client belongs, and deploys a series of related management or auxiliary devices including a management device, a downloading device, and a shared storage medium. On this basis, the components and configuration data used to constitute the software system are downloaded through the downloading device and loaded or overwritten and updated to the shared storage medium. Various functional components are modularly developed through the dynamic component device, components are selected as needed, and the components are configured and associated into an overall software system. In addition, the overall or partial components / component associations of the software system are dynamically loaded, unloaded, and changed according to changes in the components and configuration data in the shared storage medium. The software system is monitored and controlled through the management device, thereby solving the customization, management, upgrade, and maintenance problems of the enterprise system to a certain extent.

1. The name of the product of this design: operating interface of the virtual machine graphical user interface of the NAS device of the computer. 2. Purpose of this design product: To use part of the hard disk and memory capacity of the physical machine as the hard disk and memory capacity of the virtual machine, and to simulate a complete computer system with complete hardware system functions and running in a completely isolated environment through software. 3. The design highlights of this appearance design product are located in the part of the graphical user interface. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base design. 6. Purpose of the graphical user interface: This graphical user interface, in its entirety and in part, is used to manage the virtual machines of the NAS device. 7. Human-computer interaction mode of the graphical user interface: The main view of Design 1 is the display interface of the device. Click the "Manage" button of the main view of Design 1 to enter the Design 1 change state diagram 1, and click "Storage" of the Design 1 change state diagram 1 to enter the Design 1 change state diagram 2; the main view of Design 2 is the display interface of the device. Click the "Manage" button of the main view of Design 2 to enter the Design 2 change state diagram 1, and click "Network" of the Design 2 change state diagram 1 to enter the Design 2 change state diagram 2; the main view of Design 3 is the display interface of the device. Click the "Manage" button of the main view of Design 3 to enter the Design 3 change state diagram 1, and click "Log" of the Design 3 change state diagram 1 to enter the Design 3 change state diagram 2; the main view of Design 4 is the display interface of the device. Click the "Manage" button of the main view of Design 4 to enter the Design 4 change state diagram 1, and click "Mirror" of the Design 4 change state diagram 1 to enter the Design 4 change state diagram 2. 8. Description of other situations that need explanation: Design 1 reference figure 1 is a reference schematic diagram of the main view, and Design 1 reference figure 2 is a reference schematic diagram of the change state diagram. 9. Other situations that need to be explained Other explanations: The dotted line in the view shows the part of the graphical user interface, which does not constitute the part for which protection is required for this design; the parts other than the dotted line are the parts for which protection is required for this design.

The invention relates to the technical field of intelligent content publishing and workflow management, and particularly provides a method and device for customizing content publishing auditing nodes, and the method comprises the following steps: S1, integrating a Warm-flow open source framework, aiming at content auditing extension, and carrying out flow control through binding a service data table smsbitempush; s2, performing visual interface operation, completing process design editing in an expansion form, and finally storing the process model in an xml file form; s3, the process model is continuously iteratively upgraded, and only the model is deployed in the operation process; s4, monitoring the annotation by using the at EventListener event of Spring, and monitoring the event published in the context of the application program; s5, acquiring a monitoring event based on SpEL expression grammar, and performing function logic distinguishing; and S6, historical examination and approval node record flow and single node operation duration record display. Compared with the prior art, the flexible configuration capability of the content auditing process can be remarkably improved, the process change risk is reduced, and the overall maintainability and auditing transparency of the platform are improved.

The application provides a transmission extension framework suitable for object request agents and an implementation method, wherein the transmission extension framework is composed of three parts of a framework transmission API, a framework implementation and a framework interface definition; the framework transmission API part is used for providing a unified data transmission calling interface to an upper layer, shielding the difference of lower layer implementation, guaranteeing the consistency of the interface of the upper layer application logic, and decoupling with the lower layer transmission implementation; the framework implementation part is used for responding to the framework transmission API calling and judging the data input of the upper layer; and the framework interface definition part completes the final calling of the matched lower layer data transmission implementation through the pointer of the interface function. By using the transmission extension framework, the application effectively separates the coupling between the upper layer application calling and the lower layer transmission implementation, reduces the relevance, and effectively enhances the low coupling of the whole program.

1. Name of this design: Interactive area for generating, displaying, and interacting with popular meme-related emoticons in a graphical user interface for electronic devices. 2. Purpose of this design product: an electronic device. 3. The key design features of this product are: the parts in the graphical user interface, and the parts not marked with dotted lines are the parts for which protection is required. 4. The picture or photo that best illustrates the key points of the design: Main view of Design 1. 5. Designate Design 1 as the base design. 6. Purpose of the graphical user interface: The interface as a whole is used for chat dialogue, viewing or sending emoticons, adding trending memes to emoticons, generating trending meme emoticons, sending trending meme emoticons, and synthesizing popular emoticons; certain parts of the interface are used for adding trending memes to emoticons, generating trending meme emoticons, sending trending meme emoticons, and synthesizing popular emoticons. 7. Human-computer interaction method of graphical user interface: In the main view of Design 1, users can drag emoticons to the corresponding hot meme command options to generate emoticons for the corresponding hot meme commands. The human-computer interaction methods of Design 2 and Design 3 are the same as those of Design 1, and users can also slide the command options to view more command content. In the main view of Design 4, users can drag emojis onto the corresponding trending text to generate the corresponding emoji and automatically send it. Design 5 uses the same human-computer interaction method as Design 4, with more trending meme text options displayed at the bottom. In the main view of Design 6, users can click the command option on the left to switch the emoji generated by the corresponding command; they can also click the emoji generated by the corresponding command on the right to send it to a friend. In the main view of Design 7, users can drag emoticons to the corresponding popular emoticons, combine them into an emoticon, and then automatically send the emoticon. In each design, the rounded rectangular blank area in the interface is the content screen, such as: emoticons, pictures, photos, etc.

The invention relates to the technical field of cloud computing resource management, in particular to an elastic task scheduling method and system based on a large language model, electronic equipment and a medium. The method comprises the steps of firstly obtaining a task mirror image of a user and analyzing a task code through a large language model to generate an initial resource demand feature; performing code embedding vector similarity calculation on the initial resource demand characteristics and historical task codes to generate elastic resource demand distribution characteristics; performing scheduling matching with cluster real-time available resources according to the characteristics; and if the matching fails or the operation fails, correcting the entry point of the task mirror image and the related source code or the configuration file through the large language model so as to re-execute the task scheduling matching. In this way, the technical problem that the resource demand and supply dynamic matching is difficult when an existing container cluster scheduling technology faces a limited resource environment is solved, and the task success rate and the overall cluster resource utilization efficiency are improved.

The invention discloses a high-concurrency resource scheduling optimization method and system based on a Java virtual thread, and relates to the technical field of resource scheduling optimization, and the method comprises the following steps: analyzing the concurrency quantity trend of virtual thread tasks under unit time of an execution log, and predicting the resource overhead of future virtual thread tasks; acquiring a real-time Java virtual resource use condition, judging whether the resource overhead of a future virtual thread task is met or not, if so, judging that the task is normally executed, and if not, judging that the task resource is overloaded; if it is judged that the task resources are overloaded, JVM stack space allocation is dynamically adjusted according to thread request scene preferences corresponding to resource overhead of future virtual thread tasks; and establishing a resource dynamic recovery decision model, and performing real-time resource recovery and scheduling optimization for JVM stack space allocation of future virtual thread tasks to complete high-concurrency resource scheduling optimization. The method has the advantages that resource distribution is optimized, and the performance and the processing capacity of the whole system are improved.

The invention provides an enterprise office-oriented private cloud desktop management system, belongs to the technical field of office data management, realizes full-process intelligent management from user historical behavior analysis to dynamic security management and control, and remarkably improves the operation efficiency and security of an enterprise private cloud desktop system. According to the method, the priority model is constructed based on the office habit of the user, the resource demand is predicted in combination with the office plan, hierarchical storage of data and dynamic allocation of resources are realized, and the storage cost is reduced and the resource utilization rate is improved while high-frequency and quick access of key data is guaranteed; and by setting a dynamic security threshold, the access authority of out-of-limit data is automatically adjusted, and the active defense capability of data security is enhanced. A closed-loop management mechanism of'behavior perception-intelligent grading-resource optimization-safety response 'is integrally formed, the characteristics of personalization, self-adaption and automation are integrated, and the office efficiency, the system performance and the data safety level are comprehensively improved.

The application belongs to the technical field of computer software architecture and artificial intelligence integration, and discloses a general business system AI model unified configuration and whole life cycle management and control method. The application designs a general artificial intelligence model configuration data table, centrally stores basic information, interface access addresses, hierarchical authorization keys, version parameters and whole-process operation trace data of multi-vendor and multi-purpose AI models; adopts database table value parameters as standardized interaction carriers of front and rear ends, combines centralized encapsulation storage processes, uniformly carries various operation requests of front ends, and integrally realizes AI model adding, modifying, deleting and default model setting business processing. The application breaks through the industry disadvantages of dispersed configuration, messy interface, disordered management and control and operation without traceability when traditional application software accesses artificial intelligence, the overall scheme is not limited by industries, can be adapted to all kinds of scenes such as desktop application software, informatization management system, commercial business platform and office software, and provides reliable bottom technology support for standardized, safe and standardized access of all kinds of programs to AI capability.

The invention discloses a distributed permission control method and system for a double-cross-platform multi-team SaaS application scene. The method comprises the steps that a platform adaptation layer is designed; constructing a multi-dimensional variable permission control model (MDVM); optimizing a distributed architecture; and constructing authority monitoring and auditing. According to the invention, the real Internet of Things factory data is accessed into the double-cross system to simulate the equipment access authorization in normal operation and the cross-team cooperation scene, and the security compliance permission boundary is set, so that the risk of permission dispute and data leakage is effectively avoided, the overall working efficiency and the project advancing speed are greatly improved, and the project implementation cost is reduced. And a firm and powerful support is provided for multi-team collaborative operation. And finally, the application effects of high safety, high efficiency, high precision and precise authorization are achieved, and a traditional scheme is greatly improved and used in a wider range.

The invention provides a model-based MEMS-CMOS collaborative design method and device. The method comprises the following steps: constructing a parameterized collaborative model library; based on the collaborative model library, driving an MEMS simulator and a CMOS simulator to perform joint simulation through an automatic script engine, and automatically extracting system-level key performance indexes from a simulation result; taking the system-level key performance index as an optimization target, adopting a multi-target optimization algorithm to carry out collaborative optimization on design parameters in the MEMS parameterized multi-physical field model and the CMOS parameterized circuit macro model at the same time, and generating a Pareto optimal solution set; and performing Monte Carlo analysis on the design selected from the Pareto optimal solution set, and evaluating the yield of the design. According to the collaborative design method provided by the invention, a system-level optimal solution can be found, and the problem that the overall performance is reduced due to local optimum is avoided; the tape-out success rate is improved, and the design efficiency and the design precision of the whole microsystem are improved.

The invention discloses a pairing-free certificateless multi-copy auditing and verifiable deleting method and device under multiple KGCs, and relates to the field of cloud storage. A plurality of distributed KGCs ensure that each KGC is only responsible for generating a fragment of one master key through a threshold sharing technology, and the master key of the whole system can be reconstructed only through cooperation of t KGCs, so that the anti-risk capability of the system is remarkably enhanced. In addition, a pairing-free certificateless signature mechanism is adopted, so that the overall expenditure of auditing is effectively reduced. Based on the distributed certificateless signature technology, the invention further provides a multi-copy dynamic data auditing and verifiable deleting scheme suitable for a distributed storage environment. On each cloud server, one or more data copies are stored, and a Merkel Hash tree is constructed for each copy block. Based on the Hash trees, a data dynamic updating mechanism and verifiable data deletion operation are designed, so that the control requirement of a user on the data is met.