CN110673924B - Multi-architecture container cloud mirror image selection method, device, equipment and storage medium - Google Patents
Multi-architecture container cloud mirror image selection method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN110673924B CN110673924B CN201910843045.8A CN201910843045A CN110673924B CN 110673924 B CN110673924 B CN 110673924B CN 201910843045 A CN201910843045 A CN 201910843045A CN 110673924 B CN110673924 B CN 110673924B
- Authority
- CN
- China
- Prior art keywords
- information
- virtual data
- target
- mirror image
- data center
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/28—Data switching networks characterised by path configuration, e.g. LAN [Local Area Networks] or WAN [Wide Area Networks]
- H04L12/46—Interconnection of networks
- H04L12/4641—Virtual LANs, VLANs, e.g. virtual private networks [VPN]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Software Systems (AREA)
- Theoretical Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Security & Cryptography (AREA)
- Processing Or Creating Images (AREA)
Abstract
The invention discloses a multi-architecture container cloud mirror image selection method, which comprises the following steps: acquiring target information of a target virtual data center; acquiring deployable mirror image information of a target virtual data center by utilizing target information and a preset running environment table; the method comprises the steps that an operation environment table is preset to be a mapping table of target information and deployable mirror image information of each virtual data center; outputting deployable mirror image information; the method comprises the steps of correspondingly binding each virtual data center with each running environment, and constructing a running environment table by using binding information and pre-stored architecture information; acquiring deployable mirror image information of a target virtual data center by utilizing the target information and a preset running environment table and outputting the deployable mirror image information; the method can simplify the operation of selecting a proper virtual data center, and greatly reduce the time required for deploying the mirror image; in addition, the invention also provides a multi-architecture container cloud mirror image selection device, equipment and a computer readable storage medium, which also have the beneficial effects.
Description
Technical Field
The present invention relates to the field of cloud computing technologies, and in particular, to a method, an apparatus, a device, and a computer readable storage medium for selecting a multi-architecture container cloud image.
Background
The development of cloud computing technology is that the virtualization technology is a key technology in a cloud platform until now, and the container technology is a novel virtualization technology which saves more computing resources and is more flexible than the virtual machine technology, and the development of the virtualization technology provides a new thought for constructing an efficient cloud platform.
The existing container cloud platform can be accessed into kubernetes clusters with different architectures, and CPUs with different architectures can provide different services, so that the multi-architecture container cloud platform can provide richer services to the outside, and simultaneously hardware resources required by the deployment of the container cloud platform can be saved. The container cloud platform has access to kubernetes clusters with various CPU architectures, so that the operation is complex when a virtual data center is used: inquiring the architecture of an operating environment bound with the virtual data center when determining the virtual data center, namely a CPU architecture, acquiring a deployable mirror image of the operating environment according to the CPU architecture, providing service for a user if the user-required mirror image exists in the deployable mirror image, and replacing other virtual data centers if the user-required mirror image does not exist; if a user runs an undeployed mirror image on the virtual data center, a fault occurs. Because of the various types of images, the images which can be deployed on the running environments of different architectures are different, a great deal of time is required to be spent to determine which virtual data center can meet the requirements of users, and the problem of long time for selecting a proper virtual data center is caused.
Therefore, how to solve the problems of complicated operation and long time for selecting a proper virtual data center is an urgent technical problem to be solved by those skilled in the art.
Disclosure of Invention
Accordingly, the present invention is directed to a method, apparatus, device and computer readable storage medium for selecting a multi-architecture container cloud image, which solve the problems of complicated operation and long time for selecting a suitable virtual data center.
In order to solve the technical problems, the invention provides a multi-architecture container cloud mirror image selection method, which comprises the following steps:
acquiring target information of a target virtual data center;
acquiring deployable mirror image information of the target virtual data center by utilizing the target information and a preset running environment table; the preset running environment table is a mapping table of the target information and the deployable mirror image information of each virtual data center;
outputting the deployable mirror image information.
Optionally, after outputting the deployable image information, the method further includes:
and acquiring a selection instruction, determining a target image by using the selection instruction and the deployable image information, and deploying the target image.
Optionally, the construction process of the preset operation environment table includes:
creating a plurality of virtual data centers on a plurality of running environments, correspondingly binding each virtual data center with each running environment, and acquiring corresponding binding information;
and constructing the preset running environment table by utilizing the binding information and the pre-stored architecture information.
Optionally, before the creating a plurality of virtual data centers on a plurality of running environments, the method further includes:
acquiring the accessed running environment information of the running environment;
judging whether the running environment information is correct or not by utilizing the pre-stored architecture information;
if yes, the step of creating a plurality of virtual data centers on a plurality of operating environments is performed.
The invention also provides a multi-architecture container cloud mirror image selection device, which comprises:
the target information acquisition module is used for acquiring target information of the target virtual data center;
the deployable mirror image information acquisition module is used for acquiring deployable mirror image information of the target virtual data center by utilizing the target information and a preset running environment table;
and the deployable mirror image information output module is used for outputting the deployable mirror image information.
Optionally, the method further comprises:
the target image deployment module is used for acquiring a selection instruction, selecting a target image from the deployable image information by using the selection instruction, and deploying the target image.
Optionally, the method comprises the following steps:
the binding information acquisition module is used for creating a plurality of virtual data centers on a plurality of running environments, correspondingly binding each virtual data center with each running environment and acquiring corresponding binding information;
the preset operation environment table construction module is used for constructing the preset operation environment table by utilizing the binding information and the pre-stored architecture information.
Optionally, the method further comprises:
the operation environment information acquisition module is used for acquiring the operation environment information of the accessed operation environment;
the judging module is used for judging whether the running environment information is correct or not by utilizing the pre-stored architecture information;
correspondingly, the binding information acquisition module is a module for executing the step of creating a plurality of virtual data centers on a plurality of running environments when the running environment information is correct.
The invention also provides multi-architecture container cloud image selection equipment, which comprises a memory and a processor, wherein:
the memory is used for storing a computer program;
the processor is configured to execute the computer program to implement the multi-architecture container cloud image selection method described above.
The invention also provides a computer readable storage medium for storing a computer program, wherein the computer program realizes the multi-architecture container cloud mirror selection method when being executed by a processor.
The method comprises the steps of correspondingly binding each virtual data center with each running environment, and constructing a running environment table by using binding information and pre-stored architecture information; the running environment table may record architecture information of each virtual data center and the running environment bound thereto. When the mirror image to be deployed is selected, acquiring target information of a target virtual data center, acquiring deployable mirror image information of the target virtual data center by utilizing the target information and a preset running environment table, and outputting the deployable mirror image information. The user can judge whether the target virtual data center can provide the image to be deployed according to the deployable image information, and select the target image and deploy according to the selection instruction. The method can simplify the operation of selecting the proper virtual data center, and greatly reduce the time required for deploying the mirror image.
In addition, the invention also provides a multi-architecture container cloud mirror image selection device, equipment and a computer readable storage medium, which also have the beneficial effects.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present invention, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for selecting a multi-architecture container cloud image according to an embodiment of the present invention;
FIG. 2 is a flowchart of another method for selecting a multi-architecture container cloud image according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a multi-architecture container cloud mirror image selecting device according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a multi-architecture container cloud image selecting device according to an embodiment of the present invention;
FIG. 5 is a schematic view of an access to a multi-architecture container cloud platform operating environment according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of binding a virtual data center with an operating environment according to an embodiment of the present invention;
FIG. 7 is a diagram of a preset operating environment table according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, fig. 1 is a flowchart of a multi-architecture container cloud image selection method according to an embodiment of the present invention. The method comprises the following steps:
s101: and acquiring target information of the target virtual data center.
The target virtual data center is a virtual data center selected by the user, and the virtual data center is created to provide various services to the user. The target information is used for representing the information of the running environment bound by the target virtual data center, and the virtual data centers bound on the running environments of different architectures can provide different services. The embodiment is not limited to the specific content of the target information, and may be used to determine the target virtual data center, for example, the ID number of the target virtual data center; or may be the name of the target virtual data center.
S102: and acquiring the deployable mirror image information of the target virtual data center by using the target information and the preset running environment table.
After the target information is acquired, the deployable mirror image information of the target virtual data center is acquired by utilizing the target information and a preset running environment table. In this embodiment, the preset running environment table is a mapping table of target information and deployable mirror image information of each virtual data center, which is used to represent a corresponding relationship between the target information and the deployable mirror image information of each virtual data center, that is, the deployable mirror image information of the target virtual data center can be obtained according to the target information. The deployable image information is information indicating an image that can be deployed on the center of the target virtual data, and the specific content of the embodiment is not limited, for example, the deployable image information may be the number of the deployable image; or may be the name of a deployable image; or may be directly the deployable image itself. The embodiment is not limited to the specific content and kind of the mirror image, and may be, for example, a dock mirror image. The embodiment is not limited to the method and specific content for acquiring the preset environment table. The preset running environment table can be generated according to the actual condition of the accessed running environment, and the running environment is a hardware cluster deployed at the bottom layer; the preset operation environment table can be edited in advance, the operation environment is accessed by using the preset operation environment table, and the preset operation environment table is input after the operation environment is accessed.
S103: outputting the deployable mirror information.
After the deployable mirror image information is acquired, the deployable mirror image information is output, so that a user can judge whether the target virtual data center can provide service for the user according to the deployable mirror image information. When the deployable mirror image information comprises mirror image information required by a user, the target data center can provide service for the user; when the deployable image information does not include the image information required by the user, the target data center cannot provide services for the user.
Further, when the deployable mirror image information comprises the mirror image information required by the user, the selection instruction is acquired, the target mirror image is determined by using the selection instruction and the deployable mirror image information, and the target mirror image is deployed. Specifically, a selection instruction is obtained, a target mirror image is selected in the deployable mirror image information by using the selection instruction, namely, a mirror image required by a user, and after the target mirror image is determined, the target mirror image is deployed in a target virtual data center to provide services for the user. The embodiment is not limited to a specific form of the selection instruction, and may be a piece of code, for example; or may be a special high or low level; or may be a special mark.
By applying the multi-architecture container cloud mirror image selection method provided by the embodiment of the invention, the target information of the target virtual data center is acquired, and the deployable mirror image information of the target virtual data center is acquired and output by utilizing the target information and the preset running environment table. The user can judge whether the target virtual data center can provide the image to be deployed according to the deployable image information, and select the target image and deploy according to the selection instruction. If the target virtual data center cannot deploy the mirror image required by the user, the user can directly select other virtual data centers without replacing the other virtual data centers after the mirror image deployment failure, so that the operation of selecting the proper virtual data center can be simplified, and the time required for deploying the mirror image is greatly reduced.
Based on the foregoing embodiments, the present embodiment will introduce a process for constructing a preset running environment table, and referring specifically to fig. 2, fig. 2 is a flowchart of another multi-architecture container cloud image selection method provided in the embodiment of the present invention, including:
s201: and acquiring the running environment information of the accessed running environment.
The operating environment is a hardware cluster deployed at the bottom layer, and the embodiment is not limited to a specific type, for example, the operating environment may be a kubernetes cluster, and the accessed operating environment is a kubernetes cluster that will provide services for users. The running environment information is information indicating the architecture of the CPU in the running environment, and the specific content of the embodiment is not limited, for example, may be the architecture information of the CPU in the running environment; or may be vendor information of the CPU chip; or may be kubeconfig, i.e. a chip certificate. The operating environment information may be entered by a technician. Referring to fig. 5, fig. 5 is an access schematic diagram of a multi-architecture container cloud platform operating environment according to an embodiment of the present invention.
S202: and judging whether the running environment information is correct or not by utilizing the pre-stored structure information.
The pre-stored structure information comprises various CPU architecture information, and is used for constructing a preset running environment table and detecting whether the running environment information is correct or not, so that a technician is prevented from making errors when accessing the running environment. The embodiment is not limited to the specific content in the pre-stored structure information, and may include kuberconfig, that is, a chip certificate, for example; and may also include chip vendor name, CPU architecture information, deployable image information under the CPU architecture, etc. The present embodiment is not limited to the storage location of the pre-stored structure information, and may be stored in each operating environment, for example, and the pre-stored structure information may be obtained using kubernetes API. Comparing the pre-stored structure information with the operation environment information, judging whether the input operation environment information is correct or not, and if the input operation environment information is correct, entering a step S203; if not, the step S201 can be re-executed, namely, the running environment information is re-acquired; or may output error information, requiring the technician to re-input the operating environment information, the present embodiment does not limit the operations performed when the operating environment information is incorrect.
S203: creating a plurality of virtual data centers on a plurality of running environments, correspondingly binding each virtual data center with each running environment, and acquiring corresponding binding information.
Creating a plurality of virtual data centers on the accessed multiple running environments, correspondingly binding each virtual data center with each running environment, and passing corresponding binding information. The binding information is used to represent the binding relationship between the virtual data center and the running environment, that is, the running environment corresponding to each virtual data center, and the embodiment is not limited to the form and the content of the binding information. Referring to fig. 6, fig. 6 is a schematic diagram illustrating binding between a virtual data center and an operating environment according to an embodiment of the present invention.
S204: and constructing a preset running environment table by using the binding information and the pre-stored architecture information.
And constructing a preset running environment table by using the binding information and the pre-stored architecture information. The embodiment is not limited to a specific form of the preset operation environment table, for example, refer to fig. 7, and fig. 7 is a diagram of a preset operation environment table according to an embodiment of the present invention.
By applying the multi-architecture container cloud image selection method provided by the embodiment of the invention, the running environment information of each running environment is obtained, and whether the running environment information is correct or not is judged by utilizing the pre-stored architecture information; when the operation environment information is correct, a virtual data center is established and bound, and a preset operation environment table is established by using the binding information and the pre-stored architecture information.
The following describes a multi-architecture container cloud image selection device provided by an embodiment of the present invention, where the multi-architecture container cloud image selection device described below and the multi-architecture container cloud image selection method described above may be referred to correspondingly.
Referring to fig. 3, fig. 3 is a schematic structural diagram of a multi-architecture container cloud image selecting device according to an embodiment of the present invention, including:
the target information acquisition module 300 is configured to acquire target information of a target virtual data center;
a deployable mirror information obtaining module 310, configured to obtain deployable mirror information of the target virtual data center by using the target information and a preset running environment table;
the deployable image information output module 320 is configured to output the deployable image information.
Optionally, the method further comprises:
the target image deployment module is used for acquiring a selection instruction, selecting a target image from the deployable image information by using the selection instruction, and deploying the target image.
Optionally, the method comprises the following steps:
the binding information acquisition module is used for creating a plurality of virtual data centers on a plurality of running environments, correspondingly binding each virtual data center with each running environment and acquiring corresponding binding information;
the preset operation environment table construction module is used for constructing the preset operation environment table by utilizing the binding information and the pre-stored architecture information.
Optionally, the method further comprises:
the operation environment information acquisition module is used for acquiring the operation environment information of the accessed operation environment;
the judging module is used for judging whether the running environment information is correct or not by utilizing the pre-stored architecture information;
correspondingly, the binding information acquisition module is a module for executing the step of creating a plurality of virtual data centers on a plurality of running environments when the running environment information is correct.
The following describes a multi-architecture container cloud image selection device provided by an embodiment of the present invention, where the multi-architecture container cloud image selection device described below and the multi-architecture container cloud image selection method described above may be referred to correspondingly.
Referring to fig. 4, fig. 4 is a schematic structural diagram of a multi-architecture container cloud image selecting device according to an embodiment of the present invention, where the multi-architecture container cloud image selecting device includes a memory and a processor, and the method includes:
a memory 10 for storing a computer program;
a processor 20 for executing a computer program to implement the multi-architecture container cloud image selection method described above.
The following describes a computer readable storage medium provided by an embodiment of the present invention, where the computer readable storage medium described below and the multi-architecture container cloud image selection method described above may be referred to correspondingly.
The invention also provides a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the steps of the multi-architecture container cloud mirror image selection method when being executed by a processor.
The computer readable storage medium may include: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (Random Access Memory, RAM), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In this specification, each embodiment is described in a progressive manner, and each embodiment is mainly described in a different point from other embodiments, so that the same or similar parts between the embodiments are referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
Finally, it is further noted that, in this document, 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.
The method, apparatus, device and computer readable storage medium for selecting multi-architecture container cloud images provided by the present invention have been described in detail, and specific examples are applied to illustrate the principles and embodiments of the present invention, and the description of the above examples is only used to help understand the method and core ideas of the present invention; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present invention, the present description should not be construed as limiting the present invention in view of the above.
Claims (8)
1. A multi-architecture container cloud image selection method, comprising:
acquiring target information of a target virtual data center;
acquiring deployable mirror image information of the target virtual data center by utilizing the target information and a preset running environment table; the preset running environment table is a mapping table of the target information and the deployable mirror image information of each virtual data center; the deployable mirror image information is information representing a deployable mirror image on the target virtual data center; the construction process of the preset operation environment table comprises the following steps: creating a plurality of virtual data centers on a plurality of running environments, correspondingly binding each virtual data center with each running environment, and acquiring corresponding binding information; constructing the preset running environment table by utilizing the binding information and the pre-stored architecture information;
outputting the deployable mirror image information so that a user can judge whether the target virtual data center can provide service for the user or not according to the deployable mirror image information.
2. The multi-architecture container cloud image selection method of claim 1, further comprising, after outputting the deployable image information:
and acquiring a selection instruction, determining a target image by using the selection instruction and the deployable image information, and deploying the target image.
3. The multi-architecture container cloud image selection method of claim 1, further comprising, prior to said creating a plurality of virtual data centers on a plurality of operating environments:
acquiring the accessed running environment information of the running environment;
judging whether the running environment information is correct or not by utilizing the pre-stored architecture information;
if yes, the step of creating a plurality of virtual data centers on a plurality of operating environments is performed.
4. A multi-architecture container cloud image selection apparatus, comprising:
the target information acquisition module is used for acquiring target information of the target virtual data center;
the deployable mirror image information acquisition module is used for acquiring deployable mirror image information of the target virtual data center by utilizing the target information and a preset running environment table; the deployable mirror image information is information representing a deployable mirror image on the target virtual data center;
the binding information acquisition module is used for creating a plurality of virtual data centers on a plurality of running environments, correspondingly binding each virtual data center with each running environment and acquiring corresponding binding information;
the preset running environment table construction module is used for constructing the preset running environment table by utilizing the binding information and the pre-stored architecture information;
the deployable mirror image information output module is used for outputting the deployable mirror image information so that a user can judge whether the target virtual data center can provide service for the user or not according to the deployable mirror image information.
5. The multi-architecture container cloud image selection apparatus of claim 4, further comprising:
the target image deployment module is used for acquiring a selection instruction, selecting a target image from the deployable image information by using the selection instruction, and deploying the target image.
6. The multi-architecture container cloud image selection apparatus of claim 4, further comprising:
the operation environment information acquisition module is used for acquiring the operation environment information of the accessed operation environment;
the judging module is used for judging whether the running environment information is correct or not by utilizing the pre-stored architecture information;
correspondingly, the binding information acquisition module is a module for executing the step of creating a plurality of virtual data centers on a plurality of running environments when the running environment information is correct.
7. A multi-architecture container cloud image selection device comprising a memory and a processor, wherein:
the memory is used for storing a computer program;
the processor is configured to execute the computer program to implement the multi-architecture container cloud image selection method according to any one of claims 1 to 3.
8. A computer readable storage medium for storing a computer program, wherein the computer program when executed by a processor implements the multi-architecture container cloud image selection method of any of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910843045.8A CN110673924B (en) | 2019-09-06 | 2019-09-06 | Multi-architecture container cloud mirror image selection method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910843045.8A CN110673924B (en) | 2019-09-06 | 2019-09-06 | Multi-architecture container cloud mirror image selection method, device, equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110673924A CN110673924A (en) | 2020-01-10 |
| CN110673924B true CN110673924B (en) | 2023-07-14 |
Family
ID=69076140
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910843045.8A Active CN110673924B (en) | 2019-09-06 | 2019-09-06 | Multi-architecture container cloud mirror image selection method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110673924B (en) |
Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113110913B (en) * | 2020-01-13 | 2024-01-05 | 中国移动通信集团浙江有限公司 | Mirror image management system, method and computing device |
| CN111309401A (en) * | 2020-03-24 | 2020-06-19 | 广西梯度科技有限公司 | Method for operating multi-CPU architecture service in Kubernetes |
| CN111984275A (en) * | 2020-07-25 | 2020-11-24 | 苏州浪潮智能科技有限公司 | System deployment method, system, terminal and storage medium based on CPU architecture type |
| CN112269694B (en) * | 2020-10-23 | 2023-12-22 | 北京浪潮数据技术有限公司 | Management node determining method and device, electronic equipment and readable storage medium |
| CN112433677A (en) * | 2020-11-24 | 2021-03-02 | 浪潮云信息技术股份公司 | Method for docking multiple storage back ends by cloud mirror image service |
| CN113467791B (en) * | 2021-06-25 | 2024-09-03 | 广东浪潮智慧计算技术有限公司 | Deployment adjustment method, system, equipment and storage medium for application in cloud platform |
| CN114490037A (en) * | 2021-12-28 | 2022-05-13 | 深圳云天励飞技术股份有限公司 | Mirror image deployment method and device, electronic equipment and storage medium |
| CN116795453B (en) * | 2023-08-28 | 2023-11-03 | 成都中科合迅科技有限公司 | Multi-CPU architecture call control method and system for application program |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106201648A (en) * | 2016-06-27 | 2016-12-07 | 浪潮电子信息产业股份有限公司 | A kind of virtual machine creation method and device |
| CN109471714A (en) * | 2017-09-07 | 2019-03-15 | 龙芯中科技术有限公司 | Platform deployment method, apparatus, equipment and storage medium |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103970585B (en) * | 2013-01-31 | 2017-10-27 | 新华三技术有限公司 | Create the method and device of virtual machine |
-
2019
- 2019-09-06 CN CN201910843045.8A patent/CN110673924B/en active Active
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106201648A (en) * | 2016-06-27 | 2016-12-07 | 浪潮电子信息产业股份有限公司 | A kind of virtual machine creation method and device |
| CN109471714A (en) * | 2017-09-07 | 2019-03-15 | 龙芯中科技术有限公司 | Platform deployment method, apparatus, equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110673924A (en) | 2020-01-10 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110673924B (en) | Multi-architecture container cloud mirror image selection method, device, equipment and storage medium | |
| US10447814B2 (en) | Joint servicing of software packages | |
| CN110058873B (en) | Application page updating method, device, equipment and storage medium | |
| US11038947B2 (en) | Automated constraint-based deployment of microservices to cloud-based server sets | |
| US20130067459A1 (en) | Order-Independent Deployment Collections with Dependency Package Identifiers | |
| US11042405B2 (en) | Scheduling and executing functions across different functions-as-a-service (FAAS) infrastructures | |
| US11422917B2 (en) | Deriving software application dependency trees for white-box testing | |
| CN111767226B (en) | Cloud computing platform resource testing method, system and equipment | |
| JP2019506666A (en) | Stack return address protected by caller in hardware management stack architecture | |
| CN109992501B (en) | Availability check of small program, available small program list generating method and device | |
| CN108170465B (en) | Version information management method, electronic equipment and readable storage medium | |
| CN105138352B (en) | Method and device for installing application plug-in | |
| CN108829449A (en) | A kind of method, apparatus, equipment and the medium of BIOS start-up operation system | |
| CN113238795A (en) | Component distribution method, device, electronic equipment, storage medium and program product | |
| CN111158987A (en) | Health check method and device of micro-service architecture | |
| CN106502707B (en) | Code generation method and device | |
| CN112559346A (en) | Service testing method and device | |
| CN109739756B (en) | Method and equipment for testing application of mobile terminal | |
| CN115576903B (en) | File system construction method, computing device and storage medium | |
| CN110471828B (en) | Operating system testing method, device and equipment thereof | |
| US9058184B2 (en) | Run time generation and functionality validation of device drivers | |
| CN112068895B (en) | Code configuration method, device, video playing equipment and storage medium | |
| CN115237441A (en) | Upgrade test method, device and medium based on cloud platform | |
| CN111367796B (en) | Application program debugging method and device | |
| CN114510300A (en) | Method and equipment for embedding target object in derived class |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |