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Enhanced Archive Format Using Data Chunking Scheme

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Recently, digital files are more and more increasing and needs huge size storage system. To deal with this problem, several storage system adapt novel data processing techniques including data compaction, deduplication and distributed file system. In this paper, we propose an archive format that efficiently deals with data files by exploiting data chunking scheme. The key idea of this paper is to adapt a variable-length chunking approach for building an archive file. With this approach, we can store unique data chunk only, therefore, requirement for data storage capacity will be reduced. In the experiment result, the proposed system shows that the requirement of storage size is dramatically reduced. For text file type, the proposed system shows less performance enhancement compared to TAR with gzip option. However, for binary data file type, the proposed system outperforms TAR with gzip option. In terms of processing time, the proposed system needs slightly more computation time than TAR approach.
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Keywords: Archive File; File Chunking; Hashing; VTAR

Document Type: Research Article

Affiliations: Department of Computer Engineering, Hallym University, Chuncheon 200702, Korea; Smart Computing Lab, Hallym University, Chuncheon 200702, Korea

Publication date: April 1, 2017

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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