Dynamic compression strategy for time series database using GPU

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Abstract

Nowadays, we can observe increasing interest in processing and exploration of time series. Growing volumes of data and needs of efficient processing pushed research in new directions. GPU devices combined with fast compression and decompression algorithms open new horizons for data intensive systems. In this paper we present improved cascaded compression mechanism for time series databases build on Big Table–like solution. We achieved extremely fast compression methods with good compression ratio.

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Przymus, P., & Kaczmarski, K. (2014). Dynamic compression strategy for time series database using GPU. In Advances in Intelligent Systems and Computing (Vol. 241, pp. 235–244). Springer Verlag. https://doi.org/10.1007/978-3-319-01863-8_26

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