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System and method for deploying big data cluster on cloud service platform

A cloud service platform and big data technology, which is applied in the system field of deploying big data clusters on the cloud service platform, can solve the problems of long deployment time, high technical requirements, and high cost of use, and achieve low technical requirements, high user experience, and simple structure Effect

Pending Publication Date: 2022-01-04
JINAN INSPUR DATA TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the disadvantages of the prior art that the above-mentioned existing cloud server platform deployment cluster adopts a separate deployment method, the deployment time is long, the efficiency is low, the technical requirements are high, and the use cost is high, the present invention provides a system and a system for deploying a large data cluster on a cloud service platform method to solve the above technical problems

Method used

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  • System and method for deploying big data cluster on cloud service platform
  • System and method for deploying big data cluster on cloud service platform
  • System and method for deploying big data cluster on cloud service platform

Examples

Experimental program
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Embodiment 1

[0096] Such as figure 1 As shown, the present invention provides a system for deploying large data clusters on a cloud service platform, including:

[0097] The resource library module 1 is used to store image libraries, virtual machine templates, storage pools, host clusters, and network resources; the virtual machine templates include management virtual machine templates and working virtual machine templates;

[0098] The resource library interface module 2 is used to provide a mirror library list query interface, a template list query interface, a storage pool list query interface, a host cluster list query interface, a network list query interface, and a big data cluster deployment interface;

[0099] The user interface module 3 is used to output the corresponding query interface of the resource library interface module to the user when the cluster deployment of the user is started, so as to obtain the specific parameters of the resource library module selected by the user...

Embodiment 2

[0103] Such as figure 2 As shown, the present invention provides a system for deploying large data clusters on a cloud service platform, including:

[0104] The resource library module 1 is used to store image libraries, virtual machine templates, storage pools, host clusters, and network resources; the virtual machine templates include management virtual machine templates and working virtual machine templates; resource library module 1 includes:

[0105] The mirror library unit 1.1 is used to store the mirror library required for virtual machine cluster deployment;

[0106] The virtual machine template unit 1.2 is used to store the virtual machine template required for virtual machine cluster deployment;

[0107] The storage pool unit 1.3 is used to store system disks and data disks required for virtual machine cluster deployment, and generate a storage pool from the system disks and data disks;

[0108] The host cluster unit 1.4 is used to store the host cluster required fo...

Embodiment 3

[0139] Such as image 3 As shown, the present invention provides a method for deploying a large data cluster on a cloud service platform, comprising the following steps:

[0140] S1. Generate a resource library module deployed by a virtual machine cluster, store image libraries, storage pools, host clusters, and network resources, and create query interfaces for each resource in the resource library module, and each query interface forms a resource library interface module;

[0141] S2. When the user interface module obtains the start of the user's cluster deployment, it outputs the corresponding query interface of the resource library interface module to the user to obtain the specific parameters of the resource library module selected by the user;

[0142] S3. According to the specific parameters of the resource library module selected by the user, select corresponding resources from the resource library module, execute virtual machine cluster deployment, and deploy the mana...

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Abstract

The invention provides a system and method for deploying a big data cluster on a cloud service platform, and the method comprises the steps: generating a resources library module, a storage mirror image library, a storage pool, a host cluster and network resources for virtual machine cluster deployment, creating a query interface for the resources in the resource library module, and forming a resources library interface module; when the user interface module obtains that cluster deployment of a user is started, outputting a corresponding query interface of the resources library interface module to the user to obtain specific parameters of the resources library module selected by the user; according to specific parameters of the resources library module selected by the user, selecting corresponding resources from the resource library module, executing virtual machine cluster deployment and deploying a management virtual machine and a working virtual machine; and running the deployed virtual machine cluster, and setting each virtual machine. High efficiency of deploying the big data cluster by the cloud service platform is realized, the deployment time is saved, the security is good, and good user experience can be brought.

Description

technical field [0001] The invention belongs to the technical field of cloud platform cluster deployment, and in particular relates to a system and method for deploying a large data cluster on a cloud service platform. Background technique [0002] Existing cloud service platforms deploy big data clusters individually. In the separate deployment method, you need to deploy virtual machines individually first, and then configure the cluster relationship after all virtual machines are deployed. If there are many virtual machines, the waiting time will be very long. This kind of separate deployment method, first, the deployment time is long, so the efficiency is extremely low; second, the technical requirements are high, so it is not convenient for customers to use; third, when a failure occurs, the technical requirements for the operation and maintenance personnel are high, and the use cost is high. [0003] This is the deficiency of the prior art. Therefore, aiming at the ab...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/455
CPCG06F9/45558G06F2009/45562
Inventor 温云博闫冬冬
Owner JINAN INSPUR DATA TECH CO LTD