Lempel–Ziv Data Compression on Parallel and Distributed Systems

We present a survey of results concerning Lempel–Ziv data compression on parallel and distributed systems, starting from the theoretical approach to parallel time complexity to conclude with the practical goal of designing distributed algorithms with low communication cost. Storer’s extension for im...

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Main Author: Sergio De Agostino
Format: Article
Language:English
Published: MDPI AG 2011-09-01
Series:Algorithms
Subjects:
Online Access:http://www.mdpi.com/1999-4893/4/3/183/
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spelling doaj-e881ea9e6e7b4076b7509406db0261ed2020-11-24T21:45:46ZengMDPI AGAlgorithms1999-48932011-09-014318319910.3390/a4030183Lempel–Ziv Data Compression on Parallel and Distributed SystemsSergio De AgostinoWe present a survey of results concerning Lempel–Ziv data compression on parallel and distributed systems, starting from the theoretical approach to parallel time complexity to conclude with the practical goal of designing distributed algorithms with low communication cost. Storer’s extension for image compression is also discussed.http://www.mdpi.com/1999-4893/4/3/183/dictionary-based compressionstring factorizationparallel complexity; distributed algorithmbinary image
collection DOAJ
language English
format Article
sources DOAJ
author Sergio De Agostino
spellingShingle Sergio De Agostino
Lempel–Ziv Data Compression on Parallel and Distributed Systems
Algorithms
dictionary-based compression
string factorization
parallel complexity; distributed algorithm
binary image
author_facet Sergio De Agostino
author_sort Sergio De Agostino
title Lempel–Ziv Data Compression on Parallel and Distributed Systems
title_short Lempel–Ziv Data Compression on Parallel and Distributed Systems
title_full Lempel–Ziv Data Compression on Parallel and Distributed Systems
title_fullStr Lempel–Ziv Data Compression on Parallel and Distributed Systems
title_full_unstemmed Lempel–Ziv Data Compression on Parallel and Distributed Systems
title_sort lempel–ziv data compression on parallel and distributed systems
publisher MDPI AG
series Algorithms
issn 1999-4893
publishDate 2011-09-01
description We present a survey of results concerning Lempel–Ziv data compression on parallel and distributed systems, starting from the theoretical approach to parallel time complexity to conclude with the practical goal of designing distributed algorithms with low communication cost. Storer’s extension for image compression is also discussed.
topic dictionary-based compression
string factorization
parallel complexity; distributed algorithm
binary image
url http://www.mdpi.com/1999-4893/4/3/183/
work_keys_str_mv AT sergiodeagostino lempelzivdatacompressiononparallelanddistributedsystems
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