The Improvised GZIP, A Technique for Real Time Lossless Data Compression

Shah, Ahmad and Sethi, Muhammad (2019) The Improvised GZIP, A Technique for Real Time Lossless Data Compression. EAI Endorsed Transactions on Context-aware Systems and Applications, 6 (17): e5. ISSN 2409-0026

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Abstract

Whenever it comes to data processing, the user always faces two major constraints. One is storage capacity and second is bandwidth. These two resources must be efficiently utilized by compressing the data. Enormous algorithms are used to compress data. As far as, compression in storage is concern, GZIP is used on large scale for lossless data compression. However, it is not desirable to carry out lossless data compression for real time data. In this paper, an improvisation is proposed in the existing GZIP algorithm for compressing real time data by a contemporary concept of introducing Adaptive Huffman algorithm by replacing the traditional Huffman encoder (static). Simulations have proved that improvised GZIP has approximate 18% better compression ratio and space saving than traditional GZIP for real time data. This research paper extends the usability of GZIP algorithm to carry out lossless compression for real time data.

Item Type: Article
Uncontrolled Keywords: Lossless data compression, LZ77, Huffman encoding, GZIP and Adaptive Huffman
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 16 Sep 2020 08:20
Last Modified: 16 Sep 2020 08:20
URI: https://eprints.eudl.eu/id/eprint/293

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