Cloud Customers' Historical Record Based On-Demand Resource Reservation

Still lacking a standard architecture, cloud computing requires sophisticated ways to estimate resources for the requesting cloud service customers (CSCs). CSC show random behavior in utilizing various services. In this regard, if all the CSCs are treated in the same way, not only cloud service providers (CSPs) suffer because of fluctuating utilization behavior of CSCs, but also CSCs suffer, since they do not get any incentive for their loyalty. We propose a dynamic resource estimation method, taking into account CSCs historical record of service utilization or relinquish. With the intent of showing practical implications of our method, we implemented it using Amazon EC2 pricing. Based on various services, differentiated through Amazon's price plans, and historical record of CSCs, the model determines resources to be allocated. More loyal CSC gets better service, while for the contrary case, CSP reserves resources cautiously.