Compression Planner for Time Series Database with GPU Support [chapter]

Piotr Przymus, Krzysztof Kaczmarski
2014 Lecture Notes in Computer Science  
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. This paper presents a lossless lightweight compression planner intended to be used in a time series database system. We propose a novel compression method which is ultra fast and tries to find the best possible compression ratio by composing several lightweight algorithms tuned dynamically for incoming data. The
more » ... eliminary results are promising and open new horizons for data intensive monitoring and analytic systems.
doi:10.1007/978-3-662-45761-0_2 fatcat:gghwhq7gsvhnfgyrbn7liefnme