The Research And Implementation Of Dynamic Billing Model Based On Massive Data Analysis Platform

Recently,with the rapid development of cloud computing,more and more enterprises choose cloud computing services instead of the traditional services.The increase of the number of users of cloud computing attracts people's attention on the commercial value of cloud computing.Appropriate billing strategies are indispensable for every commercial cloud platform.With the development of the Internet,data size grows fast and unstructured data has become an important part.The large data size and unstructured data are far beyond the ability of traditional Business Intelligence(BI)system.Massive data analysis platform is emerged to solve such problems.Based on cloud computing,massive data analysis platform is a BI platform.It can provide users with a variety of data analysis services.Although with PaaS technologies as its core,the platform provides services different from the usual PaaS platforms.As of now,the platform is able to provide a full application services.But it lacks a reasonable mechanism for charging.With the combination of the features of platform,this paper designs a dynamic billing mechanism to charge different services.The main work consists of four parts as follows.First of all,this paper does research on the mainstream cloud platforms' billing mechanisms.With the analysis of other services'features and billing schemes,this paper summarizes the relationship between service features and the billing strategies.Secondly,this paper determines the billing strategy with requirement analysis of the platform.Then based on the pay-as-you-go strategy,this paper designs a dynamic billing model.The billing process and the database are designed with the billing model.Thirdly,this paper demonstrates the implementation of the billing mechanism.Finally,this paper verifies the billing mechanism with real cases on the platform.