Effective XML compressor: XMill with LZMA data compression
Автор: Suchit A. Sapate
Журнал: International Journal of Education and Management Engineering @ijeme
Статья в выпуске: 4 vol.9, 2019 года.
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The XMill is an efficient XML compression tool which takes the advantage of awareness of XML. XMill compresses the data on the basis of three principles- separate the XML structure from the data, group related data and apply the semantic compressors. The XMill uses the gZip library to compress the XML string data for increasing the compression ratio. Here we have proposed a new method to increase the compression ratio of XMill tool. In this method we have added the 7Zip library to the XMill tool; 7Zip library uses the LZMA algorithm to compress the data. LZMA is an enhanced & improved version of LZ77 algorithm which is used in the gZip library. LZMA algorithm has following features over the LZ77 algorithm •Uses up to 4GB dictionary length instead of 32KB for removing the duplicate data. •Uses the look-a-head approach instead of greedy approach. •Uses the optimal parsing, shorter code for recently repeated matches. •Uses the context handling. Due to the above features our proposed approach achieves the best compression ratio with a comparable compression speed.
XML, XMill, LZ77, LZMA, 7Zip, gZip
Короткий адрес: https://sciup.org/15015807
IDR: 15015807 | DOI: 10.5815/ijeme.2019.04.01
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