Lazy Management for Frequency Table on Hardware-Based Stream Lossless Data Compression

The demand for communicating large amounts of data in real-time has raised new challenges with implementing high-speed communication paths for high definition video and sensory data. It requires the implementation of high speed data paths based on hardware. Implementation difficulties have to be add...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Koichi Marumo [verfasserIn] Shinichi Yamagiwa [verfasserIn] Ryuta Morita [verfasserIn] Hiroshi Sakamoto [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	lossless data compression dynamic histogram management lazy compression

Übergeordnetes Werk:	In: Information - MDPI AG, 2010, 7(2016), 4, p 63
Übergeordnetes Werk:	volume:7 ; year:2016 ; number:4, p 63

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/info7040063

Katalog-ID:	DOAJ007268351

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spelling	10.3390/info7040063 doi (DE-627)DOAJ007268351 (DE-599)DOAJd18d8592fe4c48d59ca82cc6c9719bbc DE-627 ger DE-627 rakwb eng T58.5-58.64 Koichi Marumo verfasserin aut Lazy Management for Frequency Table on Hardware-Based Stream Lossless Data Compression 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The demand for communicating large amounts of data in real-time has raised new challenges with implementing high-speed communication paths for high definition video and sensory data. It requires the implementation of high speed data paths based on hardware. Implementation difficulties have to be addressed by applying new techniques based on data-oriented algorithms. This paper focuses on a solution for this problem by applying a lossless data compression mechanism on the communication data path. The new lossless data compression mechanism, called LCA-DLT, provides dynamic histogram management for symbol lookup tables used in the compression and the decompression operations. When the histogram memory is fully used, the management algorithm needs to find the least used entries and invalidate these entries. The invalidation operations cause the blocking of the compression and the decompression data stream. This paper proposes novel techniques to eliminate blocking by introducing a dynamic invalidation mechanism, which allows achievement of a high throughput data compression. lossless data compression dynamic histogram management lazy compression Information technology Shinichi Yamagiwa verfasserin aut Ryuta Morita verfasserin aut Hiroshi Sakamoto verfasserin aut In Information MDPI AG, 2010 7(2016), 4, p 63 (DE-627)654746753 (DE-600)2599790-7 20782489 nnns volume:7 year:2016 number:4, p 63 https://doi.org/10.3390/info7040063 kostenfrei https://doaj.org/article/d18d8592fe4c48d59ca82cc6c9719bbc kostenfrei http://www.mdpi.com/2078-2489/7/4/63 kostenfrei https://doaj.org/toc/2078-2489 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2016 4, p 63
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allfieldsGer	10.3390/info7040063 doi (DE-627)DOAJ007268351 (DE-599)DOAJd18d8592fe4c48d59ca82cc6c9719bbc DE-627 ger DE-627 rakwb eng T58.5-58.64 Koichi Marumo verfasserin aut Lazy Management for Frequency Table on Hardware-Based Stream Lossless Data Compression 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The demand for communicating large amounts of data in real-time has raised new challenges with implementing high-speed communication paths for high definition video and sensory data. It requires the implementation of high speed data paths based on hardware. Implementation difficulties have to be addressed by applying new techniques based on data-oriented algorithms. This paper focuses on a solution for this problem by applying a lossless data compression mechanism on the communication data path. The new lossless data compression mechanism, called LCA-DLT, provides dynamic histogram management for symbol lookup tables used in the compression and the decompression operations. When the histogram memory is fully used, the management algorithm needs to find the least used entries and invalidate these entries. The invalidation operations cause the blocking of the compression and the decompression data stream. This paper proposes novel techniques to eliminate blocking by introducing a dynamic invalidation mechanism, which allows achievement of a high throughput data compression. lossless data compression dynamic histogram management lazy compression Information technology Shinichi Yamagiwa verfasserin aut Ryuta Morita verfasserin aut Hiroshi Sakamoto verfasserin aut In Information MDPI AG, 2010 7(2016), 4, p 63 (DE-627)654746753 (DE-600)2599790-7 20782489 nnns volume:7 year:2016 number:4, p 63 https://doi.org/10.3390/info7040063 kostenfrei https://doaj.org/article/d18d8592fe4c48d59ca82cc6c9719bbc kostenfrei http://www.mdpi.com/2078-2489/7/4/63 kostenfrei https://doaj.org/toc/2078-2489 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2016 4, p 63
allfieldsSound	10.3390/info7040063 doi (DE-627)DOAJ007268351 (DE-599)DOAJd18d8592fe4c48d59ca82cc6c9719bbc DE-627 ger DE-627 rakwb eng T58.5-58.64 Koichi Marumo verfasserin aut Lazy Management for Frequency Table on Hardware-Based Stream Lossless Data Compression 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The demand for communicating large amounts of data in real-time has raised new challenges with implementing high-speed communication paths for high definition video and sensory data. It requires the implementation of high speed data paths based on hardware. Implementation difficulties have to be addressed by applying new techniques based on data-oriented algorithms. This paper focuses on a solution for this problem by applying a lossless data compression mechanism on the communication data path. The new lossless data compression mechanism, called LCA-DLT, provides dynamic histogram management for symbol lookup tables used in the compression and the decompression operations. When the histogram memory is fully used, the management algorithm needs to find the least used entries and invalidate these entries. The invalidation operations cause the blocking of the compression and the decompression data stream. This paper proposes novel techniques to eliminate blocking by introducing a dynamic invalidation mechanism, which allows achievement of a high throughput data compression. lossless data compression dynamic histogram management lazy compression Information technology Shinichi Yamagiwa verfasserin aut Ryuta Morita verfasserin aut Hiroshi Sakamoto verfasserin aut In Information MDPI AG, 2010 7(2016), 4, p 63 (DE-627)654746753 (DE-600)2599790-7 20782489 nnns volume:7 year:2016 number:4, p 63 https://doi.org/10.3390/info7040063 kostenfrei https://doaj.org/article/d18d8592fe4c48d59ca82cc6c9719bbc kostenfrei http://www.mdpi.com/2078-2489/7/4/63 kostenfrei https://doaj.org/toc/2078-2489 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2016 4, p 63
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authorswithroles_txt_mv	Koichi Marumo @@aut@@ Shinichi Yamagiwa @@aut@@ Ryuta Morita @@aut@@ Hiroshi Sakamoto @@aut@@
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callnumber-first	T - Technology
author	Koichi Marumo
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topic_title	T58.5-58.64 Lazy Management for Frequency Table on Hardware-Based Stream Lossless Data Compression lossless data compression dynamic histogram management lazy compression
topic	misc T58.5-58.64 misc lossless data compression misc dynamic histogram management misc lazy compression misc Information technology
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title	Lazy Management for Frequency Table on Hardware-Based Stream Lossless Data Compression
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title_sort	lazy management for frequency table on hardware-based stream lossless data compression
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title_auth	Lazy Management for Frequency Table on Hardware-Based Stream Lossless Data Compression
abstract	The demand for communicating large amounts of data in real-time has raised new challenges with implementing high-speed communication paths for high definition video and sensory data. It requires the implementation of high speed data paths based on hardware. Implementation difficulties have to be addressed by applying new techniques based on data-oriented algorithms. This paper focuses on a solution for this problem by applying a lossless data compression mechanism on the communication data path. The new lossless data compression mechanism, called LCA-DLT, provides dynamic histogram management for symbol lookup tables used in the compression and the decompression operations. When the histogram memory is fully used, the management algorithm needs to find the least used entries and invalidate these entries. The invalidation operations cause the blocking of the compression and the decompression data stream. This paper proposes novel techniques to eliminate blocking by introducing a dynamic invalidation mechanism, which allows achievement of a high throughput data compression.
abstractGer	The demand for communicating large amounts of data in real-time has raised new challenges with implementing high-speed communication paths for high definition video and sensory data. It requires the implementation of high speed data paths based on hardware. Implementation difficulties have to be addressed by applying new techniques based on data-oriented algorithms. This paper focuses on a solution for this problem by applying a lossless data compression mechanism on the communication data path. The new lossless data compression mechanism, called LCA-DLT, provides dynamic histogram management for symbol lookup tables used in the compression and the decompression operations. When the histogram memory is fully used, the management algorithm needs to find the least used entries and invalidate these entries. The invalidation operations cause the blocking of the compression and the decompression data stream. This paper proposes novel techniques to eliminate blocking by introducing a dynamic invalidation mechanism, which allows achievement of a high throughput data compression.
abstract_unstemmed	The demand for communicating large amounts of data in real-time has raised new challenges with implementing high-speed communication paths for high definition video and sensory data. It requires the implementation of high speed data paths based on hardware. Implementation difficulties have to be addressed by applying new techniques based on data-oriented algorithms. This paper focuses on a solution for this problem by applying a lossless data compression mechanism on the communication data path. The new lossless data compression mechanism, called LCA-DLT, provides dynamic histogram management for symbol lookup tables used in the compression and the decompression operations. When the histogram memory is fully used, the management algorithm needs to find the least used entries and invalidate these entries. The invalidation operations cause the blocking of the compression and the decompression data stream. This paper proposes novel techniques to eliminate blocking by introducing a dynamic invalidation mechanism, which allows achievement of a high throughput data compression.
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title_short	Lazy Management for Frequency Table on Hardware-Based Stream Lossless Data Compression
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Lazy Management for Frequency Table on Hardware-Based Stream Lossless Data Compression

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