Cloud applications that supply information management services are emerging. Such clouds support caching of information in order to provide quality question services. The users can question the cloud data, paying the value for the infrastructure they use. Cloud management necessitates an economy that manages the service of multiple users in an efficient, however additionally, resource-economic method that allows for cloud profit. Naturally, the maximization of cloud profit given some guarantees for user satisfaction presumes an acceptable worth-demand model that enables optimal pricing of question services. The model should be plausible in that it reflects the correlation of cache structures concerned within the queries. Optimal pricing is achieved based on a dynamic pricing theme that adapts to time changes. This paper proposes a completely unique price-demand model designed for a cloud cache and a dynamic pricing theme for queries executed within the cloud cache. The pricing solution employs a unique technique that estimates the correlations of the cache services in an time-efficient manner. The experimental study shows the potency of the answer.
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