Choosing cost-effective configuration in cloud storage

Cloud storage provides a virtually unlimited storage spaces for customers. Customers can combine their data storages from different types of cloud storage following their own requirements. End customers often stuck in choosing desirable configuration from different types of cloud storage. How to spend the minimum costs on using the highly efficient cloud storage? How to balance the relationship between the expenditures and performance? This paper proposes a cost-effective optimal configuration model using the repeated game model that can provide optimal configuration solutions to customers. The data mining techniques are used in provisioning on cloud storage. Classification helps users to find the related data and trend analysis assists users to mine the future trend on data storage. A simulate experiment is discussed and verify the correctness of the proposed model.