A Research About The Predicition Of The Credit Risk In Hybrid Cloud Computing Based On The Cloud Bank Model

Cloud computing is a new distributed computing model which is service for commercial use. The Hybrid Cloud computing is so popular in current research area. The IaaS (Infrastructure as a Service) based Hybrid Cloud computing focus on the physical resources which are actual distribution virtual together, and provided to the users in the form of services. The IaaS based Hybrid Cloud computing is similar with the traditional commercial banks on the operation and scheduling for the resources. So inspired the traditional commercial bank model with the Hybrid IaaS Cloud computing, this paper introduces a new Cloud Bank Model which is based on the Hybrid IaaS Cloud computing. According to the characteristics of the Hybrid IaaS Cloud computing, the physical resources are autonomous, dynamic changes, and distributed in the geographically. So the ownership of the physical resources does not change within the change of the usufruct. Therefore the resources transaction process in the Cloud Bank model which based on the IaaS Hybrid Cloud computing is complex and changeable. How to maintain the normal operation of the Cloud Bank and how to guarantee the service quality of the Cloud Bank is necessary to solve in the process of the Cloud Bank operation. In the Cloud Bank model which based on the IaaS Hybrid Cloud computing, based on the analysis of the characteristics of the resource deals in the Cloud Bank, this paper focus on analyzed the cause of the Credit Risk and put forward a method which use multilevel hybrid Logistic regression model united the credit rating to predict the occurrence of the Credit Risk. At the same time, this paper also put forward corresponding defensive measures to avoid the damage caused by the Credit Risk. Based on the CloudSim simulation data, this research uses SPSS data analysis tool to do the validity test for this forecasting method. The experimental results showed that the forecasting method which is put forward in this paper is effectiveness.