Cloud service selection based on rough set theory

Cloud computing as a new information technique has been developing rapidly in recent years, which raises the tide for the whole information community. With the cloud computing technique maturity, more and more cloud service programs and providers have emerged. The cloud integrates a variety of infrastructure and soft computing services, which makes large-scale enterprise and small company processing business efficient with lower cost. However, one of the most important challenges is the pay-as-go pattern, where users select the better cloud service programs meeting their requirements and the cloud providers with lowest cost. In this paper, we study the possible integration of the rough set theory in cloud service selection mechanism in order to provide right decisions for cloud users and efficient service improvement for cloud providers. A detailed example is also introduced to demonstrate the practice and analyze the feasibility and the significance of our proposal.