Construction and evaluation method of fault detection model based on svm

Abstract

The invention is applicable to the technical field of clouds, and provides a construction and evaluation method of a fault model based on an SVM (Support Vector Machine). The method comprises the following steps: selecting a radial basis function RBF to construct a cloud fault prediction model of the support vector machine SVM; training the support vector machine SVM based on a given cloud sampletraining set, wherein the training process is specifically as follows: based on the support vector machine SVM, converting cloud fault prediction into quadratic programming with a constraint condition; building a decision function based on the solution of the quadratic programming, wherein the decision function is a hyperplane; and performing fault evaluation on a test sample point based on the hyperplane. Compared with a BP model and an LVQ (Learning Vector Quantization) model, an SVM model can find a global optimal solution, avoid the curse of dimensionality, and improve the convergence speed rapidly at the same time; and in addition, the embodiment of the invention selects the radial basis function RBF to construct the cloud fault prediction model of the support vector machine SVM, therefore, the complexity of model construction can be reduced and the fault analysis efficiency can be improved while the accuracy is satisfied.

Description

technical field [0001] The invention belongs to the field of cloud technology and provides a fault detection model construction and evaluation method based on SVM. Background technique [0002] In recent years, with the rapid development of cloud computing technology, it has been widely used in many fields, and has gradually become a hot spot in the development and innovative application of computer technology. Many large IT companies have launched their own cloud platforms (such as Google Cloud, Amazon EC2), and open source cloud computing technology has developed a lot, including Eucalyptus, OpenStack, etc., which have also made cloud computing technology develop greatly. At present, Internet services such as e-commerce and social networking have already become an inseparable part of people's daily work and life, and many applications are deployed on cloud platforms relying on cloud services such as Saleforce CRM. [0003] However, the complexity and diversity of cloud ap...

AI Technical Summary

Problems solved by technology

[0005] The embodiment of the present invention provides a fault detection model construction method and evaluation method based on SVM in a cloud environment, aiming to solve the problems of low accuracy and analysis efficiency based on the BP neural network method and the learning vector quantization LVQ network method

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