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Time Series Queries Processing with GPU Support

  • Conference paper
New Trends in Databases and Information Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 241))

Abstract

In recent years, an increased interest in processing and exploration of time-series has been observed. Due to the growing volumes of data, extensive studies have been conducted in order to find new and effective methods for storing and processing data. Research has been carried out in different directions, including hardware based solutions or NoSQL databases. We present a prototype query engine based on GPGPU and NoSQL database plus a new model of data storage using lightweight compression. Our solution improves the time series database performance in all aspects and after some modifications can be also extended to general-purpose databases in the future.

The project was funded by National Science Centre, decision DEC-2012/07/D/ST6/02483.

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Author information

Authors and Affiliations

  1. Nicolaus Copernicus University, Torun, Poland

    Piotr Przymus

  2. Warsaw University of Technology, Warsaw, Poland

    Krzysztof Kaczmarski

Authors
  1. Piotr Przymus
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  2. Krzysztof Kaczmarski
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Corresponding author

Correspondence to Piotr Przymus .

Editor information

Editors and Affiliations

  1. Dipartimento di Informatica Bioingegneria, Robotica e, Università di Genova, Genova, Italy

    Barbara Catania

  2. Dipartimento di Automatica e Informatica, Politecnico di Torino, Torino, Italy

    Tania Cerquitelli

  3. Dipartimento di Automatica e Informatica, Politecnico di Torino, Torino, Italy

    Silvia Chiusano

  4. Dipartimento di Informatica, Bioingegneria, Robotica e, Università di Genova, Genova, Italy

    Giovanna Guerrini

  5. Cloudera, Inc., California,, California, USA

    Mirko Kämpf

  6. Faculty of Informatics, Technische Universität München, Garching, Germany

    Alfons Kemper

  7. Dept. of Analytical Information Systems, Saint Petersburg University, Saint Petersburg, Russia

    Boris Novikov

  8. Dipartimento di Ingegneria e Scienza, dell’Informazione, ItalyUniversità di Trento, Povo, TN,, Italy

    Themis Palpanas

  9. Department of Software Engineering, Faculty of Mathematics and Physics, Charles University, Praha, Praha, Czech Republic

    Jaroslav Pokorný

  10. Department of Informatics, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Athena Vakali

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© 2014 Springer International Publishing Switzerland

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Przymus, P., Kaczmarski, K. (2014). Time Series Queries Processing with GPU Support. In: Catania, B., et al. New Trends in Databases and Information Systems. Advances in Intelligent Systems and Computing, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-01863-8_6

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  • DOI: https://doi.org/10.1007/978-3-319-01863-8_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01862-1

  • Online ISBN: 978-3-319-01863-8

  • eBook Packages: EngineeringEngineering (R0)

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