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A cloud computing resource prediction method and system based on business models

A business system and resource prediction technology, applied in the field of cloud computing, can solve problems such as business interruption, achieve the effect of improving accuracy, avoiding resource waste and affecting business continuity, and improving business continuity

Active Publication Date: 2018-04-17
SANMENG TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the limitation of virtualization technology and operating system, most of the resource allocation reduction operations and some of the resource allocation operations need to be performed offline, which will cause business interruption

Method used

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  • A cloud computing resource prediction method and system based on business models
  • A cloud computing resource prediction method and system based on business models
  • A cloud computing resource prediction method and system based on business models

Examples

Experimental program
Comparison scheme
Effect test

no. 1 example

[0026] figure 1 It is the flow chart of the first example of the cloud computing resource forecasting method based on the business model of the present invention, including:

[0027] S101. Obtain requirement information of a target service system corresponding to a user.

[0028] The demand information includes the business type of the business system to which the virtual machine applied by the user belongs, the use of the virtual machine in the business system of the virtual machine applied by the user, the business scale of the business system to which the virtual machine applied by the user belongs, and the application of the virtual machine applied by the user time.

[0029] It should be noted that when a user applies for resources for a target business system, he needs to upload the business type and business scale of the business system to which the virtual machine to be applied belongs, the virtual machine usage of the virtual machine in the business system, and the ap...

no. 2 example

[0034] figure 2 It is a flow chart of the second example of the cloud computing resource prediction method based on the business model of the present invention, including:

[0035] S201. Obtain requirement information of a target business system corresponding to a user.

[0036] The demand information includes the business type of the business system to which the virtual machine applied by the user belongs, the use of the virtual machine in the business system of the virtual machine applied by the user, the business scale of the business system to which the virtual machine applied by the user belongs, and the application of the virtual machine applied by the user time.

[0037] S202. Retrieve a resource requirement model having the same business type as that of the target business system on the resource requirement model library, and obtain a first matching result.

[0038] It should be noted that resource requirement models are stored in the resource requirement model libr...

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Abstract

The invention discloses a cloud computing resource prediction method based on a business model, which includes: acquiring demand information of a target business system corresponding to a user, the demand information including the business type of the business system to which the virtual machine applied by the user belongs, the The virtual machine usage of the virtual machine in the business system, the business scale of the business system to which the virtual machine applied by the user belongs, and the application time of the virtual machine applied by the user; match the resource demand model library according to the demand information, and obtain the information that the target business system should apply for. resource quantity. The invention also discloses a cloud computing resource prediction system based on business models. By adopting the present invention, by carrying out reasonable resource allocation according to the resource demand model at the time of application, the accuracy of the initial allocation of resources is improved, thereby reducing customer costs, improving business continuity, and avoiding the problems caused by prior art allocation and then adjustment. Waste of resources and disadvantages affecting business continuity.

Description

technical field [0001] The present invention relates to the field of cloud computing, in particular to a business model-based cloud computing resource prediction method and a business model-based cloud computing resource prediction system. Background technique [0002] Cloud computing enables users to enjoy information resource services on demand, just like using water and electricity. At the IAAS (Infrastructure as a Service) layer, the allocation of cloud computing resources is reflected in the division of resources such as CPU, memory, network bandwidth, and storage capacity. [0003] At present, the initial allocation of cloud computing resources requires the user to submit an application, and the management personnel will review and allocate it manually. After the initial allocation, mainstream cloud management platforms generally provide resource reallocation based on monitoring. For example, VMware's DRS (Distributed Resource Scheduler) continuously monitors the uti...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/24G06F9/50H04L29/08
Inventor 李昊王喜英李强钟金顺罗龙
Owner SANMENG TECH CO LTD
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