An efficient storage mechanism for non reference elements in cloud utilizing Tversky co-efficient, K-means and SVM

Abstract

Topical technological advances have prompted the success and popularity of the cloud. This novel hypothesis is becoming more interesting as it provides economical architectures that support storage, transmission,and intensive data computing. Though, these capable storage services pose many challenging design problems because of data control loss with cloud’s abstract nature. The aspiration behind this research is to propose a novel mechanism that could lessen the cloud storage using Tversky Co-efficient technique by means of K-mean clustering. For the cross-validation process, the SVM classification algorithm is considered. For the computation, QoS parameters, such as Formation Time and Formation Time are considered that would enlighten the efficacy of the research work.