Student at PEC-Panimalar Engineering College
Jan-2017 to Apr-2017
The Cloud applications that offer data management services are emerging. The clouds support caching of data in order to provide quality query services. The users can query the cloud data, paying the price for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, but also, resource economic way that allows for cloud profit. Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an appropriate price-demand model that enables optimal pricing of query services.
The model should be plausible in that it reflects the correlation of cache structures involved in the queries. Optimal pricing is achieved based on a dynamic pricing scheme that adapts to time changes. The pricing solution employs a novel method that estimates the correlations of the cache services in a time-efficient manner.