CN116820657A - Intelligent virtualized logic algorithm based on Docker and AI technology - Google Patents
Intelligent virtualized logic algorithm based on Docker and AI technology Download PDFInfo
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Abstract
The application discloses an intelligent virtualization logic algorithm based on a Docker technology and an AI technology, and relates to the technical field of desktop virtualization. Comprising the following steps: acquiring and generating a corresponding virtual machine environment configuration file based on an AI intelligent analysis engine according to text and/or image virtual machine environment description information input by a user; dividing the virtual desktop files into Window and Linux according to different configuration files to carry out different treatments, and creating corresponding virtual desktop files; storing the virtual machine file in a disk array bound by a Docker in an incremental mode; the use of virtual machines is implemented in Web browsing. According to the method, the virtual machine configuration file is generated through the AI intelligent engine according to the text and the image, and is divided into Windows and Linux according to the configuration file by combining with the Docker technology, so that the corresponding virtual desktop file is created, and the Docker virtualization engine is used for calling, so that the use amount of a disk is reduced, and the processing speed is increased.
Description
Technical Field
The application relates to the technical field of desktop virtualization, in particular to an intelligent virtualization logic algorithm based on a Docker and AI technology.
Background
With the development of cloud computing, desktop virtualization has been developed, in which a terminal system of a computer is virtualized to achieve security and portability of desktop use. Remote desktop technology is commonly used to enable a user to access a desktop system belonging to our individual through any device, at any location, and at any time over a network. However, the desktop virtualization still has the problems of slow loading transmission speed and large occupied operation memory at present.
Disclosure of Invention
In order to overcome the problems or at least partially solve the problems, the application provides an intelligent virtualization logic algorithm based on the Docker and AI technology, which generates a virtual machine configuration file through an AI intelligent engine according to texts and images, and combines the Docker technology to divide the configuration file into Windows and Linux for different treatments according to different configuration files to create a corresponding virtual desktop file, and the Docker virtualization engine calls the virtual desktop file to reduce the use amount of a disk and accelerate the treatment speed.
In order to solve the technical problems, the application adopts the following technical scheme:
in a first aspect, the present application provides a logic algorithm for intelligent virtualization based on Docker and AI technology, comprising the steps of:
acquiring and generating a corresponding virtual machine environment configuration file based on an AI intelligent analysis engine according to text and/or image virtual machine environment description information input by a user;
generating a virtual machine by using a Docker and KVM based virtualization technology for Windows and a Docker Stream technology for Linux according to a virtual machine environment configuration file;
storing the virtual machine file in a disk array bound by a Docker in an incremental mode;
HTML5 clients using Spice and VNC based technologies implement the use of virtual machines in Web browsing.
According to the method, the AI intelligent analysis engine is combined with text and/or image virtual machine environment description information input by a user to generate corresponding virtual machine environment configuration files, different treatments are carried out on Windows and Linux according to different virtual machine environment configuration files, corresponding virtual desktop files are created, and the virtual machine files are stored in a dock-bound disk array in an incremental mode, so that memory data are greatly reduced, and overall performance is improved; the Docker virtualization engine is used for calling, so that the use amount of the disk is reduced, and the processing speed is increased.
Based on the first aspect, further, the method for generating a virtual machine by using a virtualization technology based on Docker and KVM for Windows according to the virtual machine environment configuration file includes the following steps:
the Docker virtualization engine is connected through the KVM desktop virtualization engine to generate a virtual machine according to the virtual machine environment configuration file based on the Docker technology, and a virtual desktop file is created.
Based on the first aspect, further, the logic algorithm for intelligent virtualization based on the Docker and AI technology further comprises the following steps:
when the virtual desktop file access method is used, after the virtual desktop file is called through the Docker virtualization engine, the virtual desktop is generated based on the virtual desktop file through the KVM desktop virtualization engine, and the URL address for accessing the virtual desktop is generated.
Based on the first aspect, further, the logic algorithm for intelligent virtualization based on the Docker and AI technology further comprises the following steps:
authenticating the identity of the user, generating and giving the operation authority of the virtualized desktop of the corresponding user according to the identity authentication result.
Based on the first aspect, further, the logic algorithm for intelligent virtualization based on the Docker and AI technology further comprises the following steps:
and constructing a real-time unstructured database, wherein the real-time unstructured database is respectively connected with a KVM desktop virtualization engine and a Docker virtualization engine.
Based on the first aspect, further, the logic algorithm for intelligent virtualization based on the Docker and AI technology further comprises the following steps:
the real-time unstructured database is connected to a local store.
Based on the first aspect, further, the KVM desktop virtualization engine manages the KVM virtual machine by using Libvirt.
Based on the first aspect, further, the dock virtualization engine supports GPU virtualization.
In a second aspect, the present application provides an electronic device comprising a memory for storing one or more programs; a processor; the algorithm as in any of the first aspects described above is implemented when one or more programs are executed by a processor.
In a third aspect, the present application provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements an algorithm as in any of the first aspects above.
The application has at least the following advantages or beneficial effects:
the application provides an intelligent virtualization logic algorithm based on a Docker and AI technology, which is characterized in that an AI intelligent analysis engine is combined with text and/or image virtual machine environment description information input by a user to generate corresponding virtual machine environment configuration files, different processes are carried out on Windows and Linux according to different virtual machine environment configuration files, corresponding virtual desktop files are created, and the virtual machine files are stored in a dock-bound disk array in an incremental mode, so that memory data is greatly reduced, and the overall performance is improved; the Docker virtualization engine is used for calling, so that the use amount of the disk is reduced, and the processing speed is increased.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a logic algorithm for intelligent virtualization based on the Docker and AI technology according to an embodiment of the application;
FIG. 2 is a schematic diagram illustrating a logic algorithm for intelligent virtualization based on the Docker and AI technology according to an embodiment of the application;
fig. 3 is a block diagram of an electronic device according to an embodiment of the present application.
Reference numerals illustrate: 101. a memory; 102. a processor; 103. a communication interface.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Examples
1-2, in a first aspect, the present application provides a logic algorithm for intelligent virtualization based on Docker and AI technology, comprising the steps of:
acquiring and generating a corresponding virtual machine environment configuration file based on an AI intelligent analysis engine according to text and/or image virtual machine environment description information input by a user;
generating a virtual machine by using a Docker and KVM based virtualization technology for Windows and a Docker Stream technology for Linux according to a virtual machine environment configuration file;
further, the method comprises the steps of: the Docker virtualization engine is connected through the KVM desktop virtualization engine to generate a virtual machine according to the virtual machine environment configuration file based on the Docker technology, and a virtual desktop file is created.
Further, the method further comprises the following steps: when the virtual desktop file access method is used, after the virtual desktop file is called through the Docker virtualization engine, the virtual desktop is generated based on the virtual desktop file through the KVM desktop virtualization engine, and the URL address for accessing the virtual desktop is generated.
Storing the virtual machine file in a disk array bound by a Docker in an incremental mode;
HTML5 clients using Spice and VNC based technologies implement the use of virtual machines in Web browsing.
According to the method, the AI intelligent analysis engine is combined with text and/or image virtual machine environment description information input by a user to generate corresponding virtual machine environment configuration files, different treatments are carried out on Windows and Linux according to different virtual machine environment configuration files, corresponding virtual desktop files are created, and the virtual machine files are stored in a dock-bound disk array in an incremental mode, so that memory data are greatly reduced, and overall performance is improved; the Docker virtualization engine is used for calling, so that the use amount of the disk is reduced, and the processing speed is increased.
The logic algorithm is realized based on a platform system, and the platform system comprises a virtualized desktop module, a KVM desktop virtualization engine, a Docker virtualization engine and a disk array storage; the virtual desktop module is connected with the Docker virtual engine through a KVM desktop virtual engine to create a virtual desktop file based on the Docker technology; the Docker virtualization engine is connected with the disk array storage to store the virtual desktop file; when the virtual desktop file processing method is used, after the virtual desktop file processing is called by the Docker virtualization engine, a virtual desktop is generated based on the virtual desktop file by the KVM desktop virtualization engine; and generating a URL address for accessing the virtualized desktop through the virtualized desktop module.
The virtual desktop module creates a virtual desktop through the KVM desktop virtualization engine, and the created virtual desktop file is processed through the Docker virtualization engine and then stored in the disk array storage, so that the virtual desktop file template is convenient to call and edit at any time. The method can transfer the operation in the original memory to the Docker virtualization engine for operation, reduce data occupation and accelerate processing efficiency. When the virtual desktop file template is used, the virtual desktop file template in the disk array storage is called and processed through the Docker virtualization engine, and the virtual desktop is generated by utilizing the KVM desktop virtualization engine, so that the virtual desktop is directly used by a user. In the KVM desktop virtualization engine, KVM refers to a virtual machine based on a Linux kernel. Is the first virtualization technology integrated into the Linux kernel. In the KVM model, each virtual machine is a standard process managed by a Linux scheduler that can boot a client operating system in user space.
In some embodiments of the present application, the platform system further includes a system front end, a system back end, and a real-time unstructured database; the real-time unstructured database is respectively connected with the KVM desktop virtualization engine, the Docker virtualization engine, the system rear end and the system front end; the system front end is used for a user to access the virtualized desktop module; the system back end is used for an administrator to access the virtualized desktop module.
When a manager accesses the virtualized desktop module by using the system back end, a virtual desktop template is created by a KVM desktop virtualization engine, and the created virtual desktop template file is stored in a disk array storage by using a Docker technology. When the virtual desktop template file is used, virtual desktop templates in the disk array storage are called and processed based on the Docker technology, and then a virtual desktop is generated based on the virtual desktop templates through the KVM desktop virtualization engine for management personnel to use or distribute. The URL address generated by the manager through the virtualized desktop module is distributed to different users at the back end of the system, and meanwhile, the edited new virtual desktop template can be stored in a disk array storage through a Docker technology for the next direct call. Wherein the system front end and the system back end can transmit URL addresses through network connection. When a user accesses the virtualized desktop module through the front end of the system, the virtual desktop file can be created through the KVM desktop virtualization engine, and the virtual desktop file is stored in an array in a disk based on the Docker technology. Or directly calling a virtual desktop file or a virtual desktop template created by a user or a manager based on the Docker technology, and generating a corresponding virtual desktop based on the virtual desktop template file or the virtual desktop template through a KVM desktop virtualization engine, so that the user can acquire the virtual desktop created at the front end or the back end of the system through the URL address generated by the virtual desktop module.
The front end and the back end of the system temporarily store the generated and called virtual desktop through the unstructured database respectively, so that the occupation of memory is reduced, and the response of the simulated desktop is faster. And the real-time unstructured database is respectively connected with the KVM desktop virtualization engine and the Docker virtualization engine, so that operation records of the engines are stored, and the operation records are provided for corresponding management personnel or users to check through being connected to the system back end and the system front end.
Based on the first aspect, further, the logic algorithm for intelligent virtualization based on the Docker and AI technology further comprises the following steps:
authenticating the identity of the user, generating and giving the operation authority of the virtualized desktop of the corresponding user according to the identity authentication result.
Based on the first aspect, further, the logic algorithm for intelligent virtualization based on the Docker and AI technology further comprises the following steps:
and constructing a real-time unstructured database, wherein the real-time unstructured database is respectively connected with a KVM desktop virtualization engine and a Docker virtualization engine.
In some embodiments of the present application, the platform system further includes a user authentication module; the user authentication module is connected with the real-time unstructured database; the user authentication module is connected with the virtualized desktop module to authenticate the user identities of the user and the manager and provide corresponding virtualized desktops and operation authorities according to the user identities; the user identity of the manager comprises any one or two of the highest manager and the general manager; the highest administrator is used for managing all matters of the platform system; the user identity of the user includes any one or two of advanced users and general users; the advanced users are used for creating, issuing and deleting the virtualized desktop in batches; the general user is used to create and use the virtualized desktop.
The user authentication module is used for authenticating whether the identity of the user is a user or a manager, wherein the authentication basis can be according to the user terminal and personal information of the user, and the user terminal can be the system back end or the system front end. Optionally, the personal information of the user is obtained by using the front end of the user login system or the back end of the manager login system. The user authentication module is connected with the virtualized desktop module, so that the operation authorities of different virtual desktop templates are provided according to the corresponding identities. All matters managed by the highest manager can comprise the operation rights of the general manager and the using user, and the highest manager can have the operation rights of the general manager and the using user. Advanced users may be used to create multiple virtualized desktops, forward the virtualized desktops to multiple users for use, and delete the multiple virtualized desktops in bulk. Optionally, the user authentication module is connected with the real-time unstructured database to upload authentication information, authentication results, operation authorities and operation records of different users for the users and the users at the upper level to access and manage, and the grades of the highest administrator, the general administrator, the high-level users and the general users are ordered from large to small, so that the authorities of the users during use can be conveniently checked.
Based on the first aspect, further, in some embodiments of the present application, the logic algorithm for intelligent virtualization based on the Docker and AI technology further comprises the following steps:
the real-time unstructured database is connected to a local store.
The platform system further comprises a local storage; the real-time unstructured database is connected to the local store. The real-time unstructured database temporarily stores data when being started, writes the data back to the local storage for backup when being closed, simultaneously empties the real-time unstructured database, and simultaneously stores the starting record and the closing record of the real-time unstructured database to the local storage. The local storage disk can be connected with the front end of the system, so that the basic functions of the memory, such as storing data types of database files, static pictures, CSS files and the like, are realized.
Based on the first aspect, further, in some embodiments of the application, the KVM desktop virtualization engine manages the KVM virtual machine using Libvirt. Libvirt is used for managing an API of an open source of a virtualization platform, a background program and a management tool, realizing application of KVM virtualization technology, and supporting multiple languages and the virtualization platform.
Based on the first aspect, further, in some embodiments of the application, the Docker virtualization engine supports GPU virtualization. The virtual GPU implementation process and the virtual desktop (virtual CPU) principle are almost similar, namely a dock technology is added to a KVM layer of the GPU, and a dock virtualization engine can be set by utilizing the original or the new dock. Different functions can be realized on the virtualized desktop by utilizing GPU virtualization, for example, the GPU central processing unit of the graphic design is virtualized and then distributed, so that the graphic design work is completed by utilizing the virtualized desktop.
In some embodiments of the application, the platform system further comprises a docking engine and docking interface; the KVM desktop virtualization engine and the Docker virtualization engine are respectively connected with the real-time unstructured database through the connection engine; the authentication module, the system back end and the system front end are respectively connected with the real-time unstructured database through the connection interfaces.
The real-time unstructured database and the KVM desktop virtualization engine are connected through the connection engine, and the real-time unstructured database and the Docker virtualization engine are connected. The real-time unstructured database and the authentication module are connected through the connection interface in a communication mode, the real-time unstructured database and the rear end of the system are connected in a communication mode, and the real-time unstructured database and the front end of the system are connected in a communication mode.
As shown in fig. 3, in a second aspect, an embodiment of the present application provides an electronic device, which includes a memory 101 for storing one or more programs; a processor 102. The algorithm as in any of the first aspects described above is implemented when one or more programs are executed by the processor 102.
And a communication interface 103, where the memory 101, the processor 102 and the communication interface 103 are electrically connected directly or indirectly to each other to realize data transmission or interaction. For example, the components may be electrically connected to each other via one or more communication buses or signal lines. The memory 101 may be used to store software programs and modules that are stored within the memory 101 for execution by the processor 102 to perform various functional applications and data processing. The communication interface 103 may be used for communication of signaling or data with other node devices.
The Memory 101 may be, but is not limited to, a random access Memory (Random Access Memory, RAM), a Read Only Memory (ROM), a programmable Read Only Memory (Programmable Read-Only Memory, PROM), an erasable Read Only Memory (Erasable Programmable Read-Only Memory, EPROM), an electrically erasable Read Only Memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.
The processor 102 may be an integrated circuit chip with signal processing capabilities. The processor 102 may be a general purpose processor including a central processing unit (Central Processing Unit, CPU), a network processor (Network Processor, NP), etc.; but also digital signal processors (Digital Signal Processing, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC), field programmable gate arrays (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components.
In the embodiments provided in the present application, it should be understood that the disclosed method and system may be implemented in other manners. The above-described method and system embodiments are merely illustrative, for example, flow charts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
In addition, functional modules in the embodiments of the present application may be integrated together to form a single part, or each module may exist alone, or two or more modules may be integrated to form a single part.
In a third aspect, embodiments of the present application provide a computer readable storage medium having stored thereon a computer program which, when executed by the processor 102, implements an algorithm as in any of the first aspects described above. The functions, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, comprising several instructions for causing a computer device (which may be a personal computer, a server, a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The above is only a preferred embodiment of the present application, and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
It will be evident to those skilled in the art that the application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (10)
1. A logic algorithm for intelligent virtualization based on Docker and AI technology, comprising the steps of:
acquiring and generating a corresponding virtual machine environment configuration file based on an AI intelligent analysis engine according to text and/or image virtual machine environment description information input by a user;
generating a virtual machine by using a Docker and KVM based virtualization technology for Windows and a Docker Stream technology for Linux according to a virtual machine environment configuration file;
storing the virtual machine file in a disk array bound by a Docker in an incremental mode;
HTML5 clients using Spice and VNC based technologies implement the use of virtual machines in Web browsing.
2. The logical algorithm for intelligent virtualization based on Docker and AI technology according to claim 1, wherein the method for generating a virtual machine for Windows using the Docker and KVM based virtualization technology according to the virtual machine environment configuration file comprises the steps of:
the Docker virtualization engine is connected through the KVM desktop virtualization engine to generate a virtual machine according to the virtual machine environment configuration file based on the Docker technology, and a virtual desktop file is created.
3. The intelligent virtualized logical algorithm based on dock and AI technology of claim 2, further comprising the steps of:
when the virtual desktop file access method is used, after the virtual desktop file is called through the Docker virtualization engine, the virtual desktop is generated based on the virtual desktop file through the KVM desktop virtualization engine, and the URL address for accessing the virtual desktop is generated.
4. The intelligent virtualized logical algorithm based on dock and AI technology of claim 1, further comprising the steps of:
authenticating the identity of the user, generating and giving the operation authority of the virtualized desktop of the corresponding user according to the identity authentication result.
5. The intelligent virtualized logical algorithm based on dock and AI technology of claim 1, further comprising the steps of:
and constructing a real-time unstructured database, wherein the real-time unstructured database is respectively connected with a KVM desktop virtualization engine and a Docker virtualization engine.
6. The intelligent virtualized logical algorithm based on dock and AI technology of claim 5, further comprising the steps of:
the real-time unstructured database is connected to a local store.
7. The logic algorithm for intelligent virtualization based on Docker and AI technology of claim 2, wherein the KVM desktop virtualization engine manages KVM virtual machines using Libvirt.
8. The logic algorithm for intelligent virtualization based on Docker and AI technology of claim 2, wherein the Docker virtualization engine supports GPU virtualization.
9. An electronic device, comprising:
a memory for storing one or more programs;
a processor;
the algorithm of any one of claims 1-8 is implemented when the one or more programs are executed by the processor.
10. A computer readable storage medium, on which a computer program is stored, which computer program, when being executed by a processor, implements the algorithm according to any one of claims 1-8.
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