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Optimizing Memory Space by Removing Duplicate Files Using Similarity Digest Technique

  • Vedant Sharma
  • Priyamwada SharmaEmail author
  • Santosh Sahu
Conference paper
  • 13 Downloads
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 100)

Abstract

In this paper, we proposed a data cleaning technique, for memory space optimization. We are using sdhash techniques for effective, fast and efficient duplicate files detection and removing in memory. The correct identification of duplicate files is the first critical step in data cleaning process. The fast growth of the data targets demands new automated methods for removing data duplication quickly, accurately, and reliably. Sdhash tool is used for calculation of similarity score of a data files, store, and compare its similarity hashes referred to as similarity digests (sdhash). In contrast, compare whole file, to brute force method, our method compares only the finger prints of all files and is able to efficiently distinguish among duplicate files. In addition, our evaluation data which contains hundreds of files, provides insights into the typical levels of content similarity across related Files. The proposed method is excellent in metric of time and space complexity.

Keywords

Data cleaning Fingerprinting Ssdeep Sdhash 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Vedant Sharma
    • 1
  • Priyamwada Sharma
    • 2
    Email author
  • Santosh Sahu
    • 2
  1. 1.University Institute of TechnologyRajiv Gandhi Proudyogiki VishwavidyalayaBhopalIndia
  2. 2.School of Information TechnologyRajiv Gandhi Proudyogiki VishwavidyalayaBhopalIndia

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