CN111651770A - Security simulation computing system and storage medium based on cloud computing - Google Patents
Security simulation computing system and storage medium based on cloud computing Download PDFInfo
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- CN111651770A CN111651770A CN202010362309.0A CN202010362309A CN111651770A CN 111651770 A CN111651770 A CN 111651770A CN 202010362309 A CN202010362309 A CN 202010362309A CN 111651770 A CN111651770 A CN 111651770A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F21/50—Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
- G06F21/57—Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
- G06F21/577—Assessing vulnerabilities and evaluating computer system security
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2221/00—Indexing scheme relating to security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
- G06F2221/03—Indexing scheme relating to G06F21/50, monitoring users, programs or devices to maintain the integrity of platforms
- G06F2221/034—Test or assess a computer or a system
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
A safety simulation computing system and a storage medium based on cloud computing are provided, the simulation safety system comprises a simulation safety net, a simulation fusion cloud established in the simulation safety net, a simulation model library, a plurality of computing nodes and a simulation safety room, and the safety simulation computing system operates by the following method: the method comprises the steps of planning submission, preparation before deduction, creation of a simulation safety house, acquisition of planning files, model retrieval and matching, model authorization, simulation operation based on the simulation safety house, task result feedback, task ending, disassembling the simulation safety house, recovering the environment and ending the simulation task. The invention is designed and executed based on the simulation scenario of uniform resource coding, so that the scenario editing stage is not required to be realized by any specific model, and the completed simulation scenario can be realized by different models to perform simulation calculation; high-performance centralized simulation calculation based on the simulation safety house ensures the safety of information.
Description
Technical Field
The invention relates to the field of system modeling, in particular to a security simulation computing system and a storage medium based on cloud computing and adopting various security dynamic combination technologies.
Background
Simulations are model-based computations, typically developed using traditional or high-performance computing devices, whose computing resources are in a centralized, fixed deployment mode. The one-time simulation usually involves a plurality of field models and related matched data, and due to intellectual property or confidentiality reasons, the traditional simulation mode is difficult to multiplex and share all the field models, so that the phenomena of investment dispersion, repeated construction, low level and the like are caused.
Therefore, how to realize dynamic sharing of simulation resources under the premise of protecting intellectual property and ensuring security becomes a technical problem which needs to be solved urgently in the prior art.
Disclosure of Invention
The invention aims to establish a safety simulation computing system based on cloud computing, which adopts various safety dynamic combination technologies, combines the cloud computing technology with simulation, relies on a safety secret or private network, and provides a novel simulation computing mode, namely dynamically matches, extracts, combines, utilizes and releases model resources according to simulation requirements, thereby realizing dynamic sharing of simulation resources on the premise of protecting intellectual property and safety secret.
In order to achieve the purpose, the invention adopts the following technical scheme:
a safety simulation computing system based on cloud computing is characterized in that:
the simulation safety net is used for establishing a simulation fusion cloud, has a high safety protection performance and can effectively prevent external attack and prevent secret-related resources from leaking;
the simulation fusion cloud is established in the simulation safety net, is provided with a simulation resource library and is connected with a plurality of operation nodes, can store application software, simulation models and components and various data, can upload and store resources, and can provide an interface for a user to inquire various simulation models and components and distribute simulation tasks to the operation nodes;
the simulation model library can store and issue various simulation models and component information;
the plurality of computing nodes are positioned at the cloud end and can perform simulation calculation according to a simulation task issued by the simulation fusion cloud;
the simulation safe room is a storage space temporarily created after the simulation fusion cloud receives the task request, is used for storing resources required by the deduction, is only called by a plurality of operation nodes for performing simulation operation during the deduction, cannot be accessed by a user, deletes the resources in the simulation safe room after the deduction is finished, and releases the space;
the safety simulation computing system operates by the following method:
a step of planning submission: after the user finishes the scenario editing, submitting the scenario file to the simulation fusion cloud, configuring task operation parameters by using an operation tool, and initiating a scenario deduction task request to the simulation fusion cloud;
a preparation step before deduction: after receiving the scenario deduction request, the simulation fusion cloud performs resource preparation work before deduction, including simulation security house creation, scenario file acquisition, model retrieval,
the creating of the simulated safe house comprises the following steps: after the simulation fusion cloud receives the task, a simulation safety house is established at the cloud end;
the obtaining of the desired file comprises: the simulation fusion cloud extracts a scenario required by task operation according to the task parameters and stores the scenario in a simulation safe room;
the model retrieval comprises: extracting a list of models required for deduction from a task scenario file, searching and matching the models in published model information, and obtaining required simulation models from a simulation model library;
simulation operation steps based on the simulation safety house: after acquiring all resources required by the simulation task, the simulation fusion cloud checks the working states of all computing nodes, selects proper computing nodes according to the task amount, issues simulation operation tasks to the computing nodes, starts a simulation engine, loads simulation scenarios and loads a model for running, and records and stores simulation operation data;
and a task result feedback step: after the operation task is completed, simulating and fusing the use condition of the cloud record model, and sending the simulation operation result and the simulation operation result to a user;
and a task ending step: and (4) simulating and fusing all resources related to the task, such as a cloud deletion model, a scenario, a task parameter and the like, resolving the simulation safe room, recovering the environment and ending the simulation task.
Further preferably, the model retrieval further includes model application and authorization.
The model retrieval and matching specifically comprises the following steps: searching in published model information, matching through a model ID, feeding back a matching result to a user, confirming the model by the user, and selecting by the user if a plurality of similar models meeting the requirements exist in the simulation fusion cloud;
for a model needing authorization, a user needs to apply for a publisher, so that the model also comprises the application and authorization of the model, specifically: the simulation fusion cloud automatically applies for authorization to a model publisher according to a model which is confirmed to be used by a user, after the publisher receives the application, resource use permission is configured for the applicant according to conditions, after the authorization passes, the simulation fusion cloud obtains a dynamic library file of the model and stores the dynamic library file in a simulation safety house, the dynamic library file of the model can be limited use authorization, and the authorization comprises limited time and limited operation times.
Preferably, the user can use a scenario editing tool to make scenarios in a mode of accessing cloud resources through a browser or in a mode of offline desktop software.
Further preferably, the application of the simulation fusion cloud can be virtualized, so that a plurality of users can perform planned editing in a mode of accessing cloud resources through a browser.
Further preferably, the simulation model library has a perfect system and specification, the development of the model in the simulation model library has a uniform development specification, and the simulation model library also has model ID, basic data, operation parameters, an interaction method and model realization.
Preferably, the model and component developers can publish the simulation model and component information in a simulation model library of the simulation fusion cloud, so that resources can be conveniently retrieved by a demander, the published information comprises one or more of model ID, model function description, a publisher, publishing time and usage rights, the model usage rights comprise free usage and usage after authorization, and two modes of authorization according to times and time periods are provided.
Further preferably, developers of the model and the components have configuration rights for model resources, and provide authorization for the applicant according to actual conditions.
Further preferably, in the simulation model library, a model metadata description file is generated from the model dynamic library by using a model extraction tool, and the simulation model and the component are supported by the model metadata description file.
Further preferably, the simulation fusion cloud also provides three model interaction modes of messages, control instructions and situations, defines respective standards and interface implementation, and can complete interaction among component models and between entities through the three modes.
The invention further discloses a storage medium for storing computer executable instructions, which is characterized in that: the computer executable instructions, when executed by the processor, establish and operate the cloud computing-based security emulation computing system described above.
The cloud computing technology is utilized to transform simulation, simulation resources can be shared on the premise of protecting intellectual property and security, and design and execution are planned based on the simulation of uniform resource coding, so that the planned editing stage is not required to be realized by any specific model, and the completed simulation plan can be realized by different models to perform simulation computation; based on the high-performance centralized simulation calculation of the simulation safety room, after the deduction operation is finished, resources in the safety room are deleted, the simulation safety room is dispersed, and the information safety is ensured.
Drawings
FIG. 1 is a model diagram of a cloud computing-based security emulation computing system in accordance with a specific embodiment of the present invention;
FIG. 2 is a schematic illustration of application virtualization in accordance with an embodiment of the present invention;
FIG. 3 is a metadata description file relationship diagram according to a specific embodiment of the present invention.
Detailed Description
The method comprises the steps of building a simulation fusion cloud in the simulation safety net, storing resources such as application software, models and data, building modularized and unified simulation model resources in the simulation fusion cloud, enabling a user to set a planned task in the simulation fusion cloud, temporarily creating a simulation safety house after the simulation fusion cloud receives a task request, storing resources required by the deduction, and communicating the simulation safety house with cloud computing resources to carry out simulation deduction. And after the simulation deduction is finished, deleting the resources in the safe room and releasing the space. Therefore, various simulation models are called, high-performance centralized simulation calculation based on the simulation safety house is achieved, the intellectual property of resource owners is protected while resources are shared, and the resources are released or destroyed uniformly by the simulation safety house after being used, so that the resources are prevented from being leaked.
Referring specifically to FIG. 1, a model diagram of a cloud computing-based security emulation computing system is shown in accordance with a specific embodiment of the present invention.
The method specifically comprises the following steps:
the simulation safety net is used for establishing the simulation fusion cloud, has high safety protection performance, can effectively prevent external attack and prevent secret-related resources from leaking.
The simulation fusion cloud is established in the simulation safety net and is provided with a simulation resource library which is connected with the plurality of operation nodes, the simulation fusion cloud can store application software, simulation models and components and various data, can upload and store resources, and can provide an interface for a user to inquire various simulation models and components and distribute simulation tasks to the plurality of operation nodes.
And the simulation model library can store and distribute various simulation models and component information.
Furthermore, the simulation model library has a perfect system and a perfect standard, and the development of the model in the simulation model library has a uniform development standard, namely, the development of the model code conforms to the uniform standard, and the model library also has contents such as model ID, basic data, operation parameters, interaction methods, model realization and the like, so that the follow-up demanders can be matched and used conveniently. Under a modeling system of simulation fusion cloud, a simulation model can be built according to the field direction, so that repeated work is avoided, the professional speciality is fully played, and the usability and the reliability of the model are effectively ensured.
A developer of the model and the component can release the simulation model and the component information in a simulation model library of the simulation fusion cloud, so that a demander can conveniently retrieve resources. Illustratively, the published information includes a model ID, a model function description, a publisher, a publication time, usage rights, and the like. The model use permission comprises free use and use after authorization, two modes of authorization according to times and time periods are provided, and a publisher can set specific information of the use model.
The developer of the model and the component has the configuration authority for the model resource and provides authorization for the applicant according to the actual situation.
The plurality of computing nodes are located at the cloud end and can perform simulation computation according to simulation tasks issued by the simulation fusion cloud.
The simulation safe room is a storage space temporarily created after the simulation fusion cloud receives the task request, is used for storing resources required by the deduction, is only called by a plurality of operation nodes for performing simulation operation during the deduction, cannot be accessed by a user, deletes the resources in the simulation safe room after the deduction is finished, and releases the space.
The running method of the safety simulation computing system comprises the following steps:
a step of planning submission: after the user finishes the scenario editing, submitting the scenario file to the simulation fusion cloud, configuring task operation parameters by using an operation tool, and initiating a scenario deduction task request to the simulation fusion cloud;
a preparation step before deduction: after receiving the scenario deduction request, the simulation fusion cloud performs resource preparation work before deduction, including simulation security house creation, scenario file acquisition, model retrieval,
the creating of the simulated safe house comprises the following steps: after the simulation fusion cloud receives the task, a simulation safety house is established at the cloud end;
the obtaining of the desired file comprises: the simulation fusion cloud extracts a scenario required by task operation according to the task parameters and stores the scenario in a simulation safe room;
the model retrieval comprises: extracting a model list required for deduction from a task planning file, performing model retrieval and matching in published model information, and obtaining a required simulation model from a simulation model library;
simulation operation steps based on the simulation safety house: after acquiring all resources required by the simulation task, the simulation fusion cloud checks the working states of all computing nodes, selects proper computing nodes according to the task amount, issues simulation operation tasks to the computing nodes, starts a simulation engine, loads simulation scenarios and loads a model for running, and records and stores simulation operation data;
and a task result feedback step: after the operation task is completed, simulating and fusing the use condition of the cloud record model, and sending the simulation operation result and the simulation operation result to a user;
and a task ending step: and (4) simulating and fusing all resources related to the task, such as a cloud deletion model, a scenario, a task parameter and the like, resolving the simulation safe room, recovering the environment and ending the simulation task.
Further, model application and authorization are also included in the model retrieval and matching.
The model retrieval and matching specifically comprises the following steps: and searching in the published model information, matching through the model ID, feeding back a matching result to a user, confirming the model by the user, and selecting by the user if a plurality of similar models meeting the requirements exist in the simulation fusion cloud.
For a model needing authorization, a user needs to apply for a publisher, so that the model also comprises the application and authorization of the model, specifically: the simulation fusion cloud automatically applies for authorization to a model publisher according to a model which is confirmed to be used by a user, after the publisher receives the application, resource use permission is configured for the applicant according to conditions, after the authorization passes, the simulation fusion cloud obtains a dynamic library file of the model and stores the dynamic library file in a simulation safety house, the dynamic library file of the model can be limited use authorization, and the authorization comprises limited time, limited operation times and the like.
Furthermore, the user can use a scenario editing tool to make scenarios in a mode of accessing cloud resources through a browser or in a mode of offline desktop software.
For example, referring to fig. 2, a schematic diagram of application virtualization of a security simulation computing system based on cloud computing is shown, where the application of the simulation fusion cloud can be virtualized, so that multiple users can perform planned editing in a manner of accessing cloud resources through a browser at the same time.
A user can inquire an existing model on the simulation fusion cloud and support retrieval according to resource content, names and full text. For the model needing to be authorized to use, a user needs to apply for a publisher, and after the publisher authorizes the model to pass and send the model metadata file, the user can make a plan.
Referring to FIG. 3, a metadata description file relationship diagram is shown. When a user publishes a model on the simulation fusion cloud, the model dynamic library can be reversely edited by the user, so in order to protect the internal information of the model, the model extraction tool is used for generating a model metadata description file from the model dynamic library, and the model metadata description file supports the simulation model and the components, so that the intellectual property of the user is protected.
Further, the simulation fusion cloud also provides three model interaction modes of messages, control instructions and situations, respective standards and interface realization are defined, and interaction among all component models and between entities can be completed through the three modes.
The invention further discloses a storage medium for storing computer executable instructions, which is characterized in that:
the computer-executable instructions, when executed by the processor, establish and operate a cloud computing-based security emulation computing system.
Therefore, the invention has the following characteristics:
1. having unified model architecture and coding techniques in simulation model libraries
The simulation fusion cloud realizes a set of complete model system based on a modeling framework. Based on the capacity of a combat entity, a modular modeling mechanism is adopted, and real combat units or equipment are disassembled into different components according to different functional compositions and are modeled respectively; after the component model is developed, the component models with different functions and professions are assembled by an assembly mechanism on the basis of the entity model, so that the component models are consistent with real combat units or equipment.
In order to realize that the models in various fields can smoothly run in the simulation fusion cloud, the model development needs to be coded and developed according to a model system and specifications provided by the fusion cloud, and the functions, key parameters and interactive contents of the models are explained when the models are released.
2. Automatic retrieval matching and matching technology of model
In the scenario file created by the user, the model categories used by all entities in the scenario are recorded. And the simulation fusion cloud extracts the model categories, matches the model categories published in the cloud one by one, and sends matching information to a user for the user to confirm. When multiple published models appear for the same thought desired model category, the desired category is selected by the user. And after the user confirms that the authorization is completed, the simulation fusion cloud applies for authorization to the model issuing party, and after the authorization is passed, the simulation fusion cloud acquires a model dynamic library and places the model dynamic library in a simulation safety room created by the task for calling during simulation deduction.
3. Network simulation safe house technology based on cloud technology
The simulation fusion cloud receives a simulation operation task request uploaded by a user, the operation requests are firstly sequenced according to priority, and then related resources are searched according to task description. If the applicant does not obtain the resource usage rights, the task terminates and the user is notified. And if the user obtains the use authority of the resources, the simulation fusion cloud stores all the resources required by the task into the simulation safety room. And distributing equipment for executing the tasks according to the simulation tasks and the computing capability of the cloud computing node, and issuing simulation running tasks and required resources. The simulation fusion cloud can monitor the completion condition of the task in real time, and after the task is completed, the calculation result is deduced and issued to the user, meanwhile, the resources in the safe room are deleted, and the simulation safe room is disassembled. Through the simulation safe house mode, resources such as models and plans cannot be acquired by other people, and intellectual property rights of resource owners can be effectively guaranteed.
4. Model metadata extraction techniques to protect intellectual property rights of modelers
Metadata provides a mechanism like the FOM table in HLA, a way to model the C + + dynamic type. By adding metadata support to the platform, a dynamic library interface can be realized, and the separation of the model and the data can be realized.
Metadata technology has the following advantages:
a. the dependence on the dynamic library is not required, and the intellectual property protection requirement can be met;
b. the size of the installation package can be reduced;
c. providing data specifications and modeling facing data;
d. provides possibility for constructing a data center.
Users can make plans and edit model data through the metadata file without depending on a dynamic library. When simulation deduction is carried out, deduction tasks can be completed through a cloud computing technology only by ensuring that application programs, plans and model dynamic stocks are placed in a cloud.
In summary, the invention has the following advantages:
1. simulation resource sharing under the premise of intellectual property protection and security secrecy
The simulation fusion cloud realizes resource sharing through cloud resource storage, enables all parties to exert professional advantages of the parties, carries out resource development under unified standard specifications, ensures the quality of simulation resources, avoids repeated construction of the resources, and meets the requirement of multi-field collaborative simulation. The unique code of the resource provides the resource consensus of the supply and demand parties, and further provides a basis for the dynamic matching and extraction of the resource; the distributed storage of the resources ensures that a supplier of the resources has ownership and use permission of the resources, each resource can be configured with authority by a resource owner, and an applicant is authorized according to actual conditions; the resource dynamic extraction combination based on the simulation safe house ensures that the resources are only temporarily converged to the cloud by a dispersed end when in use, meanwhile, authorization control and a use log are provided and are physically isolated from a resource user, the resources required by simulation operation are stored in the simulation safe house, an applicant cannot directly obtain key resources and can only complete resource scheduling by fusing the cloud, the operation result is pushed to the applicant, and the intellectual property rights of a resource owner are protected while the resources are shared; after the resources are used, the resources are released or destroyed uniformly by the simulation safety house, and the resources are ensured not to be leaked.
2. Simulation scenario design and execution based on uniform resource coding
The simulation scenario is a driving data set of the model, in the method, the model can be realized in various ways to meet requirements, model resources meeting conditions can be automatically retrieved on the cloud according to the requirements of the simulation through model resource coding, and a use application is automatically sent out. The uniformly coded model has consistent model metadata, i.e., has identical initialization data requirements. By unifying the coding and metadata requirements, the scenario editing stage does not need to depend on any specific model implementation, and the completed simulation scenario can be realized by different models to carry out simulation calculation.
3. High-performance centralized simulation solution based on simulation safety house
The simulation fusion cloud can receive a task application submitted by a user, distribute tasks according to the working condition of the cloud computing node, utilize the performance of the computer to the maximum extent and easily deal with a large sample simulation deduction task. Simulation computation requires a large amount of computing resources, complex interaction relationships exist among models, time consistency and simulation causality required by simulation in turn impose strict requirements on model scheduling timing, and therefore the models should be solved in a centralized manner. Centralized solution requires the use of resources temporarily captured from each end of the cloud and is protected by means of a secure house. The safety house provides technical protection by using technologies such as virtual machines or containers and the like and combining operation authorization of the model.
It will be apparent to those skilled in the art that the various elements or steps of the invention described above may be implemented using a general purpose computing device, they may be centralized on a single computing device, or alternatively, they may be implemented using program code that is executable by a computing device, such that they may be stored in a memory device and executed by a computing device, or they may be separately fabricated into various integrated circuit modules, or multiple ones of them may be fabricated into a single integrated circuit module. Thus, the present invention is not limited to any specific combination of hardware and software.
While the invention has been described in further detail with reference to specific preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A safety simulation computing system based on cloud computing is characterized in that:
the simulation safety net is used for establishing a simulation fusion cloud, has a high safety protection performance and can effectively prevent external attack and prevent secret-related resources from leaking;
the simulation fusion cloud is established in the simulation safety net, is provided with a simulation resource library and is connected with a plurality of operation nodes, can store application software, simulation models and components and various data, can upload and store resources, and can provide an interface for a user to inquire various simulation models and components and distribute simulation tasks to the operation nodes;
the simulation model library can store and issue various simulation models and component information;
the plurality of computing nodes are positioned at the cloud end and can perform simulation calculation according to a simulation task issued by the simulation fusion cloud;
the simulation safe room is a storage space temporarily created after the simulation fusion cloud receives the task request, is used for storing resources required by the deduction, is only called by a plurality of operation nodes for performing simulation operation during the deduction, cannot be accessed by a user, deletes the resources in the simulation safe room after the deduction is finished, and releases the space;
the safety simulation computing system operates by the following method:
a step of planning submission: after the user finishes the scenario editing, submitting the scenario file to the simulation fusion cloud, configuring task operation parameters by using an operation tool, and initiating a scenario deduction task request to the simulation fusion cloud;
a preparation step before deduction: after receiving the scenario deduction request, the simulation fusion cloud performs resource preparation work before deduction, including simulation security house creation, scenario file acquisition, model retrieval,
the creating of the simulated safe house comprises the following steps: after the simulation fusion cloud receives the task, a simulation safety house is established at the cloud end;
the obtaining of the desired file comprises: the simulation fusion cloud extracts a scenario required by task operation according to the task parameters and stores the scenario in a simulation safe room;
the model retrieval comprises: extracting a list of models required for deduction from a task scenario file, searching and matching the models in published model information, and obtaining required simulation models from a simulation model library;
simulation operation steps based on the simulation safety house: after acquiring all resources required by the simulation task, the simulation fusion cloud checks the working states of all computing nodes, selects proper computing nodes according to the task amount, issues simulation operation tasks to the computing nodes, starts a simulation engine, loads simulation scenarios and loads a model for running, and records and stores simulation operation data;
and a task result feedback step: after the operation task is completed, simulating and fusing the use condition of the cloud record model, and sending the simulation operation result and the simulation operation result to a user;
and a task ending step: and (4) simulating and fusing all resources related to the task, such as a cloud deletion model, a scenario, a task parameter and the like, resolving the simulation safe room, recovering the environment and ending the simulation task.
2. The secure emulated computing system of claim 1, wherein:
model application and authorization are also included in the model retrieval and matching.
The model retrieval and matching specifically comprises the following steps: searching in published model information, matching through a model ID, feeding back a matching result to a user, confirming the model by the user, and selecting by the user if a plurality of similar models meeting the requirements exist in the simulation fusion cloud;
for a model needing authorization, a user needs to apply for a publisher, so that the model also comprises the application and authorization of the model, specifically: the simulation fusion cloud automatically applies for authorization to a model publisher according to a model which is confirmed to be used by a user, after the publisher receives the application, resource use permission is configured for the applicant according to conditions, after the authorization passes, the simulation fusion cloud obtains a dynamic library file of the model and stores the dynamic library file in a simulation safety house, the dynamic library file of the model can be limited use authorization, and the authorization comprises limited time and limited operation times.
3. The secure emulated computing system of claim 1 or 2, wherein:
the user can use a scenario editing tool to make scenarios in a mode of accessing cloud resources through a browser or in a mode of offline desktop software.
4. The secure emulated computing system of claim 3, wherein:
the application of the simulation fusion cloud can be virtualized, and a plurality of users can conveniently perform planned editing in a mode of accessing cloud resources through a browser.
5. The secure emulated computing system of claim 3, wherein:
the simulation model library has a perfect system and specification, the development of the model in the simulation model library has a uniform development specification, and the simulation model library also has model ID, basic data, operation parameters, an interaction method and model realization.
6. The secure emulated computing system of claim 3, wherein:
a developer of the model and the component can release the simulation model and the component information in a simulation model library of the simulation fusion cloud, so that a demander can search resources conveniently, the released information comprises one or more of model ID, model function description, a publisher, release time and use permission, the use permission of the model comprises free use and use after authorization, and two modes of authorization according to times and time are provided.
7. The secure emulated computing system of claim 3, wherein:
the developer of the model and the component has the configuration authority for the model resource and provides authorization for the applicant according to the actual situation.
8. The secure emulated computing system of claim 3, wherein:
in the simulation model library, a model extraction tool is used for generating a model metadata description file from a model dynamic library, and a simulation model and a simulation module are supported through the model metadata description file.
9. The secure emulated computing system of claim 3, wherein:
the simulation fusion cloud also provides three model interaction modes of messages, control instructions and situations, respective standards and interface realization are defined, and interaction among all component models and between entities can be completed through the three modes.
10. A storage medium for storing computer-executable instructions, characterized in that:
the computer-executable instructions, when executed by a processor, establish and run the cloud computing-based security emulation computing system of any of claims 1-9.
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