Evolution of Data De-duplication Strategies and Developments Tools, Algorithms and its Analysis

This Digital world is adapting new digital gadgets, new technologies, Converting every information from legacy for- mat to digital format. Data is available in digital form everywhere. In order to store this large scale of new data producing day by day, the storage methodology should be efficient as well as intelligent enough to find the redundant data to save. Data de- duplication refers to the methods that shrink the need of storage capacity to store data or the quantity of data that has to be transferred over a network. These methods detect coarse-grained redundancies within the data chunk and eliminate them. Some most significant applications of data de-duplication are backup storage systems where these methods considerably reduce the storage requirements to a small fraction of the logical backup data size. This paper reviews methods of data de-duplication, evolution of data de-duplication strategies and their recent advancements.