Design And Implementation Of Neural Network Classifier Based On CloudStack Platform

With the rapid development of cloud computing technology, the company and the Enterprise’s demands for cloud computing platforms has become increasingly large. The classification of users shows more and more importance in cloud platform operation, cloud platform operators expects that through the study of users classification, cloud platform be managed better and cloud platform can obtain more economic benefits. Because the desire of users classification has increased rapidly, company proposed the development of neural networks classifier based on Cloudstack cloud platform, by classifying users of Cloudstack cloud platform. Cloud platform operators can direct see the diffierent value among all the platform users through classification grade.This paper is based on the background of the development of neural network classifier, discusses the design and implementation of neural network user classifier based on Cloudstack platform. This paper first describes the origin and background of the subject, then carries on the demand analysis, the functional requirements, and established the user through the user attribute classification standard classification requirements. On the basis of the demand analysis, it designs the overall architecture, functional module and neural network model, then implements the function module, finishes the function of the neural network classifier based on Cloudstack. This project mainly uses Java technology, combined with Cloudstack API and JOONE neural network framework. Author participates in the completion of the implementation of neural network classifier based on Cloudstack cloud platform, CloudStack cloud development platform API, and finally the neural network classifier based on CloudStack platform test.