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Automatic classification method and device for resource levels in cloud operating system

A cloud operating system and resource-level technology, applied in the field of cloud computing, can solve problems such as increased workload, inability to guarantee the objectivity and accuracy of resource levels, and achieve the effect of ensuring objectivity and accuracy

Inactive Publication Date: 2014-01-29
INSPUR BEIJING ELECTRONICS INFORMATION IND
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Problems solved by technology

[0004] At present, most similar systems use manual determination of resource levels, which increases the workload and cannot guarantee the objectivity and accuracy of resource levels. Therefore, it is urgent to propose an automatic classification method for resource levels in cloud operating systems to ensure Objectivity and Accuracy of Resource Classification Levels

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  • Automatic classification method and device for resource levels in cloud operating system
  • Automatic classification method and device for resource levels in cloud operating system
  • Automatic classification method and device for resource levels in cloud operating system

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Embodiment Construction

[0018] Refer to the attached Figures 1 to 3 , to describe the method provided by the present invention with a specific example for the content of the present invention.

[0019] System structure of the present invention mainly comprises:

[0020] Support vector machine classifier design (1); resource level automatic classification mechanism (2); where

[0021] Support vector machine classifier design (1) is the algorithm part of the mechanism. By designing the "one-one" support vector machine cascade model to achieve multi-classification pattern classification, and at the same time determine the optimal kernel function, that is, the radial basis kernel function , which greatly improves the classification accuracy while reducing the training times and computational complexity.

[0022] Support Vector Machine (SVM, Support Vector Machine) is the product of the mixed application of optimal linear classification and kernel function methods. Through kernel mapping, the support ...

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Abstract

The invention provides an automatic classification method and device for resource levels in a cloud operating system. Resource characteristic data in the cloud operating system are acquired, the level of the resource characteristic data is artificially determined, the resource characteristic data with the determined level serve as samples and are inputted to a support vector machine classifier, parameters of the support vector machine classifier are trained, characteristic data of resources newly added into the cloud operating system are acquired and inputted to the support vector machine classifier, and the level of the characteristic data of the resources newly added into the cloud operating system is determined based on the trained parameters. By the aid of the scheme, the resource levels in the cloud operating system can be automatically classified, and objectivity and accuracy of resource classification levels are ensured.

Description

technical field [0001] The invention relates to the field of cloud computing, in particular to a method and device for automatically classifying resource levels in a cloud operating system. Background technique [0002] At present, cloud computing is gradually recognized by the industry, and cloud data center operating systems are gradually realized and put into practice. In the cloud data center operating system, resource levels are usually classified, and services of differentiated quality are provided according to different needs and payments of users. [0003] Support vector machine is a classifier with strong generalization ability. It shows many unique advantages in solving small sample problems, and has become a research hotspot in the field of pattern recognition in the world. [0004] At present, most similar systems use manual determination of resource levels, which increases the workload and cannot guarantee the objectivity and accuracy of resource levels. Theref...

Claims

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Application Information

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IPC IPC(8): G06F9/50
Inventor 郭锋
Owner INSPUR BEIJING ELECTRONICS INFORMATION IND
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