Analysis of string matching compression algorithms

The improvement rate in microprocessor speed by far exceeds the improvement in DRAM memory. This increasing processor-memory performance gap is the primary obstacle to improved computer system performance. As a result, the size of main memory has increased gradually. To utilize main memory’s resour...

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Main Authors: Nadarajan, Krishnaveny, Ahmad Zukarnain, Zuriati
Format: Article
Language:English
English
Published: Science Publications 2008
Subjects:
Online Access:http://psasir.upm.edu.my/id/eprint/13091/
http://psasir.upm.edu.my/id/eprint/13091/1/Analysis%20of%20string%20matching%20compression%20algorithms.pdf
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author Nadarajan, Krishnaveny
Ahmad Zukarnain, Zuriati
author_facet Nadarajan, Krishnaveny
Ahmad Zukarnain, Zuriati
author_sort Nadarajan, Krishnaveny
building UPM Institutional Repository
collection Online Access
description The improvement rate in microprocessor speed by far exceeds the improvement in DRAM memory. This increasing processor-memory performance gap is the primary obstacle to improved computer system performance. As a result, the size of main memory has increased gradually. To utilize main memory’s resources effectively, data compression can be applied. Through compression, the data can be compressed by eliminating redundant elements. Thus, this study incorporates compression to main memory in order to fully utilize its resources and improve performance of data access. This project evaluates the performance of the compression algorithms in order to increase the performance of memory access. The compression algorithms are string matching based which are LZW and LZSS. Through simulation, the effectiveness and compressibility of the algorithms were compared. The performances of the algorithms were evaluated in term of compression time, decompression time and compressed size. The simulation result shows that LZSS is an efficient compression algorithm compared to LZW.
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spelling upm-130912015-12-22T04:29:31Z http://psasir.upm.edu.my/id/eprint/13091/ Analysis of string matching compression algorithms Nadarajan, Krishnaveny Ahmad Zukarnain, Zuriati The improvement rate in microprocessor speed by far exceeds the improvement in DRAM memory. This increasing processor-memory performance gap is the primary obstacle to improved computer system performance. As a result, the size of main memory has increased gradually. To utilize main memory’s resources effectively, data compression can be applied. Through compression, the data can be compressed by eliminating redundant elements. Thus, this study incorporates compression to main memory in order to fully utilize its resources and improve performance of data access. This project evaluates the performance of the compression algorithms in order to increase the performance of memory access. The compression algorithms are string matching based which are LZW and LZSS. Through simulation, the effectiveness and compressibility of the algorithms were compared. The performances of the algorithms were evaluated in term of compression time, decompression time and compressed size. The simulation result shows that LZSS is an efficient compression algorithm compared to LZW. Science Publications 2008 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/13091/1/Analysis%20of%20string%20matching%20compression%20algorithms.pdf Nadarajan, Krishnaveny and Ahmad Zukarnain, Zuriati (2008) Analysis of string matching compression algorithms. Journal of Computer Science, 4 (3). pp. 205-210. ISSN 1549-3636 Computer algorithms Data compression (Computer science) English
spellingShingle Computer algorithms
Data compression (Computer science)
Nadarajan, Krishnaveny
Ahmad Zukarnain, Zuriati
Analysis of string matching compression algorithms
title Analysis of string matching compression algorithms
title_full Analysis of string matching compression algorithms
title_fullStr Analysis of string matching compression algorithms
title_full_unstemmed Analysis of string matching compression algorithms
title_short Analysis of string matching compression algorithms
title_sort analysis of string matching compression algorithms
topic Computer algorithms
Data compression (Computer science)
url http://psasir.upm.edu.my/id/eprint/13091/
http://psasir.upm.edu.my/id/eprint/13091/1/Analysis%20of%20string%20matching%20compression%20algorithms.pdf