Comparative analysis of deduplication techniques for enhancing storage space
Naresh Kumar, Preeti Malik, Sonam Bhardwaj, Sushil Chandra Jain · 2016
Data is the most imperative part of any organization for their productive need or to make more profit. Rapid growth data with variations is solemn issue to handle or process. Data is generating at higher rate that data needs to be stored the databases with uniqueness. Deduplication is a technique to abolish the duplicated data from the databases and provides the backup of the data. In data deduplication numerous algorithm are feasible that basically detect a eliminate the redundant data and store unique copy of data contents. Various chunking techniques are used for t backup operations and to perform deduplication of the data. Various chunking techniques like Fixed sized chunking Whole file chunking and Content Defined Chunking are used for the data deduplication. Backup operation is achieved using these chunking techniques. These techniques are compared with each other for getting best suited technique for t backup job. In this paper we have presented performance evaluation of various deduplication techniques. Performan parameters matrix having parameters Deduplication ratio, Deduplication time, Hashing time, Chunking time a Throughput. The analysis result provides some guidelines to adopt the best deduplication techniques to clear away fro clone data. After comparing these chunking techniques based on different parameters it is concluded that variable size chunking algorithms are the best suited deduplication techniques for the backup operation.