DefinePK

Abstract

Cloud Computing has evolved as a service as well as deployment model over the decade in catering data storage and data access technology. Many private data owners prefer utilizing cloud storage service model due to flexibility in maintaining infrastructure, cost and ability to access data over internet. The cost of cloud utilization is determined by the amount of data stored on the cloud environment. It is imperative that optimization of cloud storage for effective data usage enables saving cost, space and effective data utilization. Recent advancements have established digital data in storage medium are redundant and data compression is effective in eliminating data redundancy. Deduplication techniques have been devised to identify and eliminate identical data in cloud. As private cloud storage has limited hardware resources and infrastructure, it is essential to optimally utilize the storage space to be able to hold maximum data. In this paper, we discuss the limitations of the existing de-duplication methods and propose a new scheme for Data De-Duplication. The proposed method of Intricate Stringent Chunking (ISC) De-duplication which is the enhanced File level de-duplication provides dynamic space optimization in private cloud storage backup as well as increases the throughput and enhances the efficiency of deduplication.