Paper Title
Identifying And Optimizing Data Duplication By Efficient Memory Allocation In Repository By Single Instance Storage

Abstract
Abstract—Cloud Storage provide users with abundant storage space and make user friendly for immediate data access. But there is a lack of analysis on optimizing cloud storage for effective data access. With the development of storage and technology, digital data has occupied more and more space. According to statistics, 60% of digital data is redundant, and the data compression can only eliminate intrafile redundancy. In order to solve these problems, DeDuplication has been proposed. Many organizations have set up private cloud storage with their unused resources for resource utilization. Since private cloud storage has limited amount of hardware resources, they need to optimally utilize the space to hold maximum data. In this paper, we discuss the flaws in existing methods for Data DeDuplication. Our proposed method namely Dynamic Whole File Deduplication (DWFD) provides dynamic space optimization and efficient method to identify duplicates by single instance in private cloud storage backup as well as increase the throughput and deduplication efficiency. Index Terms—Cloud Backup, Cloud Computing, ConstantSize Chunking, Data DeDuplication, FullFile Chunking, Private Storage Cloud, Redundancy.

Author - M.Pradeep Raja, R.C Santhosh Kumar, P.Kiruthiga, V. Logeshwari

Published : Volume-2, Issue-8  ( Aug, 2015 )

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