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A cloud-based system framework automatic deployment time optimization method

An automatic deployment and system framework technology, applied in software deployment, program control design, instruments, etc., can solve the problems of long system architecture construction, low system architecture management efficiency, and high architecture migration difficulty, achieving high architecture migration difficulty and reducing Operation and maintenance time, the effect of increasing the competitiveness of enterprises

Active Publication Date: 2022-03-18
GUIZHOU POWER GRID CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method for optimizing the automatic deployment time of the system framework based on the cloud platform to solve the cloud orchestration technology in the prior art, which has realized the life cycle management of cloud computing resources, dynamic adjustment of resources, automatic deployment and The configuration basically meets the needs of enterprise deployment, but there are problems such as long time to build the system architecture, high difficulty in architecture migration, and low management efficiency of the system architecture.

Method used

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  • A cloud-based system framework automatic deployment time optimization method
  • A cloud-based system framework automatic deployment time optimization method
  • A cloud-based system framework automatic deployment time optimization method

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Embodiment Construction

[0028] In order to facilitate those skilled in the art to further understand the technical solution of the present invention, it is described in detail below:

[0029] Virtual machine deployment stack warehouse construction

[0030] The transformation of the virtual machine configuration structure in a heterogeneous environment realizes a set of deployment templates, and multiple different cloud platforms can deploy the same configuration. It is necessary to obtain the common part of the virtual machine template warehouse. The present invention collects on-site information after induction Summed up, the common attributes include four parts in a virtual machine: hardware configuration, software configuration, network configuration, and security configuration;

[0031] A. The hardware configuration includes the following contents: vCPU core number, memory capacity, disk storage capacity, graphics card capacity, number of network cards, CD mount, boot items, and BIOS adaptability...

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Abstract

The invention discloses a method for optimizing the automatic deployment time of a system framework based on a cloud platform, which includes: step 1, building a virtual machine deployment stack warehouse; step 2, automatically escaping the virtual machine deployment stack; The deployment process is optimized and deployed; step 4, the version is archived after the deployment is successful; the cloud orchestration technology in the existing technology has been solved, and the life cycle management, dynamic adjustment of resources, and automatic deployment and configuration of cloud computing resources have been realized, which basically meets the needs of enterprises. Deployment needs, but there are problems such as long time to build the system architecture, high difficulty in architecture migration, and low management efficiency of the system architecture.

Description

technical field [0001] The invention belongs to cloud platform system framework deployment technology, in particular to a cloud platform-based system framework automatic deployment time optimization method. Background technique [0002] Common cloud orchestration solution vendors in the market include Kubernetes, Docker Swarm, and Apache Mesos / Mesosphere, and the above technologies have a market share of 80%. The development of cloud orchestration technology in my country started relatively late, and domestic cloud orchestration technology can basically meet the needs of business diversification, real-time big data analysis, end-to-end process integration, and response to business changes. However, the technology is still relatively backward, and there are a series of deficiencies such as long time-consuming architecture construction, extremely difficult architecture migration, low management efficiency, and inability to timely optimize problems in the operation and maintena...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/455G06F8/60
CPCG06F8/60G06F9/45558G06F2009/45562
Inventor 周晋甘润东王皓然
Owner GUIZHOU POWER GRID CO LTD
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