CN110971642B - Data processing method and device for cloud computing platform - Google Patents
Data processing method and device for cloud computing platform Download PDFInfo
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- CN110971642B CN110971642B CN201811161871.6A CN201811161871A CN110971642B CN 110971642 B CN110971642 B CN 110971642B CN 201811161871 A CN201811161871 A CN 201811161871A CN 110971642 B CN110971642 B CN 110971642B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1095—Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
- G06F8/61—Installation
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- 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
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/2866—Architectures; Arrangements
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Abstract
The invention discloses a data processing method and device for a cloud computing platform. The method comprises the following steps: the method comprises the steps that a first image file is made for a control node of a cloud computing data platform cluster, and a second image file is made for a computing node of the cloud computing data platform cluster; configuring a first mirror image file into a first installed mirror image file and configuring a second mirror image file into a second installed mirror image file through unattended automatic installation service pre-installed on a first server of a cloud computing platform; and performing network installation on the target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file. According to the invention, the effect of improving the deployment efficiency of the customized cloud platform is achieved.
Description
Technical Field
The invention relates to the field of computers, in particular to a cloud computing platform data processing method and device.
Background
The OpenStack cloud computing platform is widely applied to the construction of private cloud platforms of various large companies, and a current deployment method of the OpenStack cloud computing platform (cloud platform for short) for realizing customization is that each computer is gradually provided with control nodes or components of computing nodes according to official documents, so that the efficiency is very low, and a large amount of manpower is consumed.
Aiming at the problem of low deployment efficiency of a customized cloud platform in the related technology, an effective solution is not provided at present.
Disclosure of Invention
The invention mainly aims to provide a cloud computing platform data processing method and device to solve the problem of low deployment efficiency of a customized cloud platform.
In order to achieve the above object, according to an aspect of the present invention, there is provided a cloud computing platform data processing method, including: the method comprises the steps that a first image file is made for a control node of a cloud computing data platform cluster, and a second image file is made for a computing node of the cloud computing data platform cluster; configuring a first mirror image file into a first installed mirror image file and configuring a second mirror image file into a second installed mirror image file through unattended automatic installation service pre-installed on a first server of a cloud computing platform; and performing network installation on the target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file.
Further, the network installation of the target server based on the installation image file comprises: determining a target server to be installed in a cloud computing data platform cluster through a preset protocol; and installing in each target server based on the first installed image file or the second installed image file.
Further, installing a control node or a compute node in a target server based on an installed image file comprises: installing a second server based on the first installed image file; and installing the at least one third server based on the second installed image file.
Further, respectively making image files for the control node and the computing node of the cloud computing data platform cluster further comprises: in the first image file and/or the second image file, an automation script for modifying the environment variables and/or the operating parameters is configured.
Further, after network installation is performed on the target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file, the method further includes: receiving an operation instruction; and responding to the running instruction, and controlling the installed control node and the computing node to run the automation script.
Further, the network installation of the target server based on the installation image file comprises: receiving an installation request sent by a target server; and performing network installation on the target server through the IPMI protocol in response to the installation request.
In order to achieve the above object, according to another aspect of the present invention, there is also provided a cloud computing platform data processing apparatus, including: the system comprises a manufacturing unit, a storage unit and a processing unit, wherein the manufacturing unit is used for manufacturing a first mirror image file aiming at a control node of a cloud computing data platform cluster and manufacturing a second mirror image file aiming at a computing node of the cloud computing data platform cluster; the configuration unit is used for configuring the first image file into a first installed image file and configuring the second image file into a second installed image file through unattended automatic installation service pre-installed on a first server of a cloud computing platform; and the installation unit is used for carrying out network installation on the target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file.
Further, the installation unit includes: the determining module is used for determining a target server to be installed in the cloud computing data platform cluster through a preset protocol; and the installation module is used for installing in each target server based on the first installation image file or the second installation image file.
In order to achieve the above object, according to another aspect of the present invention, there is also provided a storage medium, including a stored program, where, when the program runs, a device where the storage medium is located is controlled to execute the cloud computing platform data processing method according to the present invention.
In order to achieve the above object, according to another aspect of the present invention, there is also provided a processor configured to execute a program, where the program executes the cloud computing platform data processing method according to the present invention.
The method comprises the steps that a first mirror image file is made for a control node of a cloud computing data platform cluster, and a second mirror image file is made for a computing node of the cloud computing data platform cluster; configuring a first mirror image file into a first installed mirror image file and configuring a second mirror image file into a second installed mirror image file through unattended automatic installation service pre-installed on a first server of a cloud computing platform; network installation is carried out on a target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file, the problem that the customized cloud platform is low in deployment efficiency is solved, and the effect of improving the deployment efficiency of the customized cloud platform is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of a cloud computing platform data processing method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a cloud computing platform data processing method according to a second embodiment of the present invention; and
fig. 3 is a schematic diagram of a cloud computing platform data processing apparatus according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
For convenience of description, several terms referred to in the embodiments of the present application are explained below:
the OpenStack cloud computing platform: the OpenStack is a cloud computing management platform project, and is formed by combining several main components to complete specific work. OpenStack supports almost all types of cloud environments, and the project aims to provide a cloud computing management platform which is simple to implement, can be expanded in a large scale, is rich and has a unified standard. OpenStack provides a solution for infrastructure as a service (IaaS) through various complementary services, each providing an API for integration.
OpenStack control node (control node for short): the method is used for deploying the management class services in the OpenStack cluster, and the management class services comprise api interfaces, management interfaces and the like of various services.
OpenStack compute node (compute node for short): the method is used for deploying computing services in the OpenStack cluster and providing virtual machine resources.
And (3) Cobbler: an open source technology for installing operating system in unattended network is disclosed.
IPMI: allowing out-of-band server management.
The embodiment of the invention provides a data processing method of a cloud computing platform.
Fig. 1 is a flowchart of a cloud computing platform data processing method according to a first embodiment of the present invention, as shown in fig. 1, the method includes the following steps:
step S102: the method comprises the steps that a first image file is made for a control node of a cloud computing data platform cluster, and a second image file is made for a computing node of the cloud computing data platform cluster;
step S104: configuring a first mirror image file into a first installed mirror image file and configuring a second mirror image file into a second installed mirror image file through unattended automatic installation service pre-installed on a first server of a cloud computing platform;
step S106: and performing network installation on the target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file.
In the embodiment, a first image file is made for a control node of a cloud computing data platform cluster, and a second image file is made for a computing node of the cloud computing data platform cluster; configuring a first mirror image file into a first installed mirror image file and configuring a second mirror image file into a second installed mirror image file through unattended automatic installation service pre-installed on a first server of a cloud computing platform; network installation is carried out on a target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file, so that the problem of low deployment efficiency of the customized cloud platform is solved, and the effect of improving the deployment efficiency of the customized cloud platform is achieved.
In the embodiment of the invention, the cloud computing data platform can be an OpenStack cloud computing platform, a plurality of servers are arranged in a cloud computing data platform cluster, a control node is required to be installed on some servers, a computing node is required to be installed on some servers, and the related technology needs to be installed one by one manually, so that the deployment efficiency is low, in the embodiment, the image files of the control node and the image files of the computing node are manufactured, an unattended automatic installation service which can be a cobbler service is installed in one server on the platform, after the installation is successful, the image files of the control node and the image files of the computing node can be respectively configured into installed image files through the service to obtain two installed image files, so that the target server can be installed on a network based on the configured installed image files, the network installation can be remotely installed, and the servers can be installed in batches by configuring the installed image files in advance, the trouble of manual one-by-one installation can be saved, the manpower waste is reduced, and the installation efficiency is improved.
Optionally, the network installation of the target server based on the installation image file includes: determining a target server to be installed in a cloud computing data platform cluster through a preset protocol; and installing in the target server based on the first installed image file or the second installed image file.
Optionally, installing a control node or a compute node in the target server based on the installed image file includes: installing a second server based on the first installed image file; and installing at least one third server based on the second installed image file.
Before network installation is performed on a target server based on an installed image file, the target server to be installed needs to be determined, corresponding control nodes or computing nodes are installed on different target servers, under a common condition, in a cloud platform cluster, a control node is installed on one server, a cobbler service is installed on one server, a computing node is installed on at least one server, different services or nodes need to be installed in different servers, a preset protocol can be an IPMI (intelligent platform management interface) protocol, after the target server to be installed at present is determined, the control nodes or the computing nodes are installed in the target server based on the installed image file, the control nodes or the computing nodes are installed based on the determined target server, installation errors can be reduced, and installation efficiency is improved.
Optionally, respectively making image files for the control node and the computing node of the cloud computing data platform cluster further includes: in the first image file and/or the second image file, an automation script for modifying the environment variables and/or the operating parameters is configured.
Optionally, after network installation is performed on a target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file, an operation instruction is received; and responding to the running instruction, and controlling the installed control node and the computing node to run the automation script.
And configuring an automation script for modifying environment variables and/or operation parameters in the first image file and/or the second image file, modifying the operation parameters according to a specific operation environment, such as modifying detailed parameters such as IP (Internet protocol), and the like, controlling the installed control node and the installed calculation node to operate the automation script according to the Yuxing instruction after all the nodes are installed, after the operation of the automation script is completed and the operation parameters are modified, the operation is equivalent to starting up of the installed nodes, and after the starting up is completed, the cloud calculation cluster can normally operate.
Optionally, the network installation of the target server based on the installation image file includes: receiving an installation request sent by a target server; and performing network installation on the target server through the IPMI protocol in response to the installation request.
When the network installation is carried out on the target server, the target server is installed based on an installation request sent by the target server, for example, the A server needs to install a control node, the A server sends a data request to a server (such as a cobbler server) where unattended automatic installation service is located, the control node is requested to be installed, then the cobbler server sends the data installation control node to the A server, and the node is installed based on the request of the target server, so that the installation error can be reduced.
The embodiment of the present invention further provides a preferred implementation manner, and the following describes a technical solution of the embodiment of the present invention with reference to the preferred implementation manner.
The technical scheme of the embodiment of the invention mainly comprises the steps of manufacturing the control node and the computing node of the customized OpenStack cluster into image files, embedding scripts for modifying environment variables and parameters in an image, realizing unattended installation of a bare engine operating system and rapid automatic deployment of the customized cloud platform by combining a cobbler technology, and solving the problem of low deployment efficiency of the OpenStack customized cloud platform.
Fig. 2 is a flowchart of a data processing method of a cloud computing platform according to a second embodiment of the present invention, and as shown in fig. 2, the flowchart includes the following steps:
1. And making image files of the control nodes and the computing nodes of the customized OpenStack cluster.
The customized OpenStack cluster is customized based on a specific application scenario, the image files of the control node and the computing node may be image files obtained by encapsulating the control node and other required files into one control node, and the image files obtained by encapsulating the computing node and other required files into one computing node, which are usually read-only files.
2. And constructing cobbler service, and configuring mirror image files of the control nodes and the computing nodes into installed mirror images.
And installing a cobbler service on one of the servers, wherein the cobbler service configures the image files of the control nodes and the computing nodes as installed image files.
3. And selecting a server network installation machine and installing the control node and the computing node by using the IPMI of the server.
4. And the control node and the computing node run the automation script and modify the environment variable.
When the automation script is operated, the operation can be triggered manually or operated based on a set command, and the operation aims to string nodes installed in different servers together so as to operate a cluster.
The embodiment of the invention realizes unattended installation of the bare engine operating system and rapid and automatic deployment of the OpenStack customized cloud platform by combining the cobbler technology, and solves the problem of low deployment efficiency of the OpenStack customized cloud platform.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
The embodiment of the invention provides a cloud computing platform data processing device which can be used for executing the cloud computing platform data processing method.
Fig. 3 is a schematic diagram of a cloud computing platform data processing apparatus according to an embodiment of the present invention, as shown in fig. 3, the apparatus includes:
the system comprises a making unit 10, a processing unit and a processing unit, wherein the making unit is used for making a first mirror image file aiming at a control node of a cloud computing data platform cluster and making a second mirror image file aiming at a computing node of the cloud computing data platform cluster;
the configuration unit 20 is configured to configure a first image file as a first installed image file and configure a second image file as a second installed image file through unattended automatic installation service pre-installed on a first server of the cloud computing platform;
and the installation unit 30 is configured to perform network installation on the target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file.
The embodiment adopts a manufacturing unit 10, which is used for manufacturing a first image file aiming at a control node of a cloud computing data platform cluster and manufacturing a second image file aiming at a computing node of the cloud computing data platform cluster; the configuration unit 20 is configured to configure a first image file as a first installed image file and configure a second image file as a second installed image file through unattended automatic installation service pre-installed on a first server of the cloud computing platform; and the installing unit 30 is used for performing network installation on the target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file, so that the problem of low deployment efficiency of the customized cloud platform is solved, and the effect of improving the deployment efficiency of the customized cloud platform is achieved.
Optionally, the installation unit 30 includes: the determining module is used for determining a target server to be installed in the cloud computing data platform cluster through a preset protocol; and the installation module is used for installing in each target server based on the first installed image file or the second installed image file.
The cloud computing platform data processing device comprises a processor and a memory, wherein the manufacturing unit, the installation unit, the configuration unit, the installation unit and the like are stored in the memory as program units, and the processor executes the program units stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program unit from the memory. One or more than one kernel can be set, and the deployment efficiency of the customized cloud platform is improved by adjusting kernel parameters.
The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
The embodiment of the invention provides a storage medium, wherein a program is stored on the storage medium, and the program realizes the data processing method of the cloud computing platform when being executed by a processor.
The embodiment of the invention provides a processor, which is used for running a program, wherein the cloud computing platform data processing method is executed when the program runs.
The embodiment of the invention provides equipment, which comprises a processor, a memory and a program which is stored on the memory and can run on the processor, wherein the processor executes the program and realizes the following steps: the method comprises the steps that a first image file is made for a control node of a cloud computing data platform cluster, and a second image file is made for a computing node of the cloud computing data platform cluster; configuring a first mirror image file into a first installed mirror image file and configuring a second mirror image file into a second installed mirror image file through unattended automatic installation service pre-installed on a first server of a cloud computing platform; and performing network installation on the target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file. The device herein may be a server, a PC, a PAD, a mobile phone, etc.
The present application further provides a computer program product adapted to perform a program for initializing the following method steps when executed on a data processing device: the method comprises the steps that a first image file is made for a control node of a cloud computing data platform cluster, and a second image file is made for a computing node of the cloud computing data platform cluster; configuring a first mirror image file into a first installed mirror image file and configuring a second mirror image file into a second installed mirror image file through unattended automatic installation service pre-installed on a first server of a cloud computing platform; and performing network installation on the target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that 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 an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to 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 scope of the claims of the present application.
Claims (9)
1. A cloud computing platform data processing method is characterized by comprising the following steps:
the method comprises the steps that a first mirror image file is made for a control node of a cloud computing data platform cluster, and a second mirror image file is made for a computing node of the cloud computing data platform cluster;
configuring a first mirror image file into a first installed mirror image file and configuring a second mirror image file into a second installed mirror image file through unattended automatic installation service pre-installed on a first server of a cloud computing platform;
network installation is carried out on a target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file;
the network installation of the target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file comprises the following steps:
receiving an installation request sent by a target server;
and performing network installation on the target server through an IPMI protocol in response to the installation request.
2. The method of claim 1, wherein performing network installation on a target server based on the installation image file comprises:
determining a target server to be installed in the cloud computing data platform cluster through a preset protocol;
And installing in each target server based on the first installed image file or the second installed image file.
3. The method of claim 2, wherein installing a control node or a compute node in the target server based on the installed image file comprises:
installing a second server based on the first installed image file;
and installing at least one third server based on the second installed image file.
4. The method of claim 1, wherein separately creating image files for control nodes and compute nodes of a cloud computing data platform cluster further comprises:
and configuring an automation script for modifying the environment variable and/or the operation parameter in the first image file and/or the second image file.
5. The method of claim 4, wherein after network installation of a target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file, the method further comprises:
receiving an operation instruction;
and responding to the running instruction, and controlling the installed control node and the computing node to run the automation script.
6. A cloud computing platform data processing apparatus, comprising:
the system comprises a manufacturing unit, a storage unit and a processing unit, wherein the manufacturing unit is used for manufacturing a first mirror image file aiming at a control node of a cloud computing data platform cluster and manufacturing a second mirror image file aiming at a computing node of the cloud computing data platform cluster;
the configuration unit is used for configuring the first image file into a first installed image file and configuring the second image file into a second installed image file through unattended automatic installation service pre-installed on a first server of a cloud computing platform;
the installation unit is used for carrying out network installation on a target server of the cloud computing data platform cluster based on the first installed image file and the second installed image file;
the device is also used for receiving an installation request sent by the target server;
and performing network installation on the target server through an IPMI protocol in response to the installation request.
7. The apparatus of claim 6, wherein the installation unit comprises:
the determining module is used for determining a target server to be installed in the cloud computing data platform cluster through a preset protocol;
and the installation module is used for installing in each target server based on the first installation image file or the second installation image file.
8. A storage medium, characterized in that the storage medium includes a stored program, and when the program runs, the device where the storage medium is located is controlled to execute the cloud computing platform data processing method according to any one of claims 1 to 5.
9. A processor, wherein the processor is configured to execute a program, wherein the program executes the cloud computing platform data processing method according to any one of claims 1 to 5.
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