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Time Series Queries Processing with GPU Support

  • Piotr Przymus
  • Krzysztof Kaczmarski
Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

time series database lightweight compression data-intensive computations GPU CUDA 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Nicolaus Copernicus UniversityTorunPoland
  2. 2.Warsaw University of TechnologyWarsawPoland

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