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Cloud calculation resource disposition method based on dynamic prediction

A dynamic prediction and cloud computing technology, applied in the field of cloud computing resource deployment, can solve problems such as low efficiency, waste, and affecting cloud service quality, and achieve the effect of reducing time delay

Active Publication Date: 2012-01-04
上海国富光启云计算科技股份有限公司
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AI Technical Summary

Problems solved by technology

As has been analyzed above, the traditional deployment method is inefficient; even if the image template is used, if the image setting is unreasonable, it will also bring many negative effects
If there are too few mirror templates, it will also cause network and I / O interface congestion, affecting the quality of cloud services; and if there are too many mirror templates, it will occupy a large amount of material resources in the cloud computing center, thereby creating waste and reducing Resource Utilization of Cloud Center

Method used

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  • Cloud calculation resource disposition method based on dynamic prediction
  • Cloud calculation resource disposition method based on dynamic prediction
  • Cloud calculation resource disposition method based on dynamic prediction

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Embodiment Construction

[0046] based on the following Figure 1 ~ Figure 3 , specifically explain the preferred embodiment of the present invention.

[0047] Define the following concepts:

[0048] 1. Mirror: The mirror is the storage carrier of the virtual machine. The present invention divides the image into two categories: platform image and storage image, wherein the platform image is pre-installed with an operating system, each virtual machine must and can only correspond to one platform image, and the storage image is used as a virtual disk of the virtual machine For storing user data, each virtual machine can have multiple mirrors, and the storage mirrors can be set to different sizes according to needs (for example, create sizes ranging from 5GB to 10GB).

[0049] 2. Mirror template library: it is used to store mirror templates. Usually, the platform image with the operating system installed is used as a template (according to the installed system, the platform image template is divided in...

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Abstract

The invention provides a cloud calculation resource disposition method based on dynamic prediction. Firstly a network jam problem brought by multiple mirror images sharing is changed through increasing quantity of mirror image templates, secondly quantity of mirror image versions in real time is adjusted through dynamic prediction of mirror image demand quantity of a could calculation at different times, further resource waste caused by time delay or excessive mirror images brought by insufficient mirror images is reduced.

Description

technical field [0001] The invention relates to a cloud computing resource deployment method based on dynamic prediction. Background technique [0002] As the development of technologies such as distributed computing, grid computing, utility computing, network storage and virtualization, cloud computing has been regarded as the third technological revolution in the IT field, which will completely change people's traditional habits of using IT resources. As a brand-new technology and business model, the application of cloud computing has huge market potential and business opportunities, so it has received extensive attention worldwide. At present, the governments of various countries and major enterprises are investing in the research and development and application promotion of cloud computing technology, trying to seize the forefront of technology and market. [0003] At present, the research on cloud computing has been widely carried out in the world, and the content of t...

Claims

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Application Information

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IPC IPC(8): H04L29/08G06F9/50
Inventor 樊六东彭俊杰范新进侯军刘晓军
Owner 上海国富光启云计算科技股份有限公司
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