GREEN 2019

GREEN 2019
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发表时间:
2019
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通讯作者:
Ishfaq Ahmad;Carlos Becker Westphall;Enrique Romero-Cadaval;A. Agah;Angelo Algieri;S. Arshad;William Campbell;Bong Jun;Choi;Giuseppe D’aniello;El-Sayed M. El-Alfy-El-Sayed-M.-El-Alfy-1384339708;Jianhui Hu;A. Hurson;Khalil Kassmi;S. Kiumarsi;G. Loseto;A. Malik;Manuel Prieto-Matias;Izzet Fatih Ş entürk;Muhammad Shafique;Vijay K. Shah;Vinod Kumar Sharma;Sabu M. Thampi;R. Verdecchia;Julian Leonard Weber;Javier Mancebo;Coral Calero;Félix García;N. Brisaboa;A. Fariña;Oscar Pedreira;Line M. P. Larsen;Michael S. Berger;Henrik L. Christiansen;Vladimir Grachev;N. Kurysheva
Ishfaq Ahmad;Carlos Becker Westphall;Enrique Romero-Cadaval;A. Agah;Angelo Algieri;S. Arshad;William Campbell;Bong Jun;Choi;Giuseppe D’aniello;El-Sayed M. El-Alfy-El-Sayed-M.-El-Alfy-1384339708;Jianhui Hu;A. Hurson;Khalil Kassmi;S. Kiumarsi;G. Loseto;A. Malik;Manuel Prieto-Matias;Izzet Fatih Ş entürk;Muhammad Shafique;Vijay K. Shah;Vinod Kumar Sharma;Sabu M. Thampi;R. Verdecchia;Julian Leonard Weber;Javier Mancebo;Coral Calero;Félix García;N. Brisaboa;A. Fariña;Oscar Pedreira;Line M. P. Larsen;Michael S. Berger;Henrik L. Christiansen;Vladimir Grachev;N. Kurysheva
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作者:
Ishfaq Ahmad;Carlos Becker Westphall;Enrique Romero-Cadaval;A. Agah;Angelo Algieri;S. Arshad;William Campbell;Bong Jun;Choi;Giuseppe D’aniello;El-Sayed M. El-Alfy-El-Sayed-M.-El-Alfy-1384339708;Jianhui Hu;A. Hurson;Khalil Kassmi;S. Kiumarsi;G. Loseto;A. Malik;Manuel Prieto-Matias;Izzet Fatih Ş entürk;Muhammad Shafique;Vijay K. Shah;Vinod Kumar Sharma;Sabu M. Thampi;R. Verdecchia;Julian Leonard Weber;Javier Mancebo;Coral Calero;Félix García;N. Brisaboa;A. Fariña;Oscar Pedreira;Line M. P. Larsen;Michael S. Berger;Henrik L. Christiansen;Vladimir Grachev;N. Kurysheva

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- 文本数据库的广泛使用及其指数级增长促进了人们对开发文本压缩技术的兴趣。这些技术旨在使用更少的空间来表示文本集合,但也通过提供诸如在压缩文本中搜索单词和短语或仅解压缩文本的一部分的功能来有效地处理它们。在本文中,我们研究的角度来看,节省能源消耗时,直接在压缩文本搜索压缩技术。我们的研究结果表明,文本压缩技术的使用可以有一个重要的影响能源效率时,文本处理,例如,字或短语搜索。我们的评估比较了压缩和未压缩文本搜索的能耗,结果表明,压缩文本数据库可以节省大量的能源(约50%)。
— The widespread use of text databases and their exponential growth has boosted the interest in developing text compression techniques. These techniques aim at representing text collections using less space, but also at efficiently processing them by providing functionalities such as searching for words and phrases in the compressed text or decompressing just a portion of the text. In this paper, we study compression techniques from the perspective of the savings obtained in energy consumption when searching directly within the compressed text. Our results show that the use of text compression techniques can have an important influence on energy efficiency when the text is processed, for example, for word or phrase searches. Our evaluation compares the energy consumption of both compressed and uncompressed text searches, and the results show that compressing text databases can lead to important energy savings (around 50%).