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ThinkMind // GREEN 2019, The Fourth International Conference on Green Communications, Computing and Technologies // View article green_2019_1_10_80031


Saving Energy in Text Search Using Compression

Authors:
Javier Mancebo
Coral Calero
Félix García
Nieves Rodriguez Brisaboa
Antonio Fariña
Oscar Pedreira

Keywords: Text compression; End-Tagged Dense Codes; Energy efficiency; Green software.

Abstract:
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%).

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2019

Publication date: October 27, 2019

Published in: conference

ISSN: 2519-8483

ISBN: 978-1-61208-751-1

Location: Nice, France

Dates: from October 27, 2019 to October 31, 2019

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