| Bibtype | Inproceedings |
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| Bibkey | Kussmann/etal/2017a |
| Author | Kussmann, Michael and Berens, Maximilian and Eitschberger, Ulrich and Kilic, Ayse and Lindemann, Thomas and Meier, Frank and Niet, Ramon and Schellenberg, Margarete and Stevens, Holger and Wishahi, Julian and Spaan, Bernhard and Teubner, Jens |
| Editor | B. Mitschang et al. (Hrsg.) |
| Title | DeLorean: A Storage Layer to Analyze Physical Data at Scale |
| Booktitle | Datenbanksysteme für Business, Technologie und Web (BTW 2017) |
| Series | LNI |
| Volume | P-265 |
| Pages | 413-422 |
| Publisher | GI |
| Abstract | Modern research in high energy physics depends on the ability to analyse massive volumes of data in short time. In this article, we report on DeLorean, which is a new system architecture for high-volume data processing in the domain of particle physics. DeLorean combines the simplicity and performance of relational database technology with the massive scalability of modern cloud execution platforms (Apache Drill for that matter). Experiments show a four-fold performance improvement over state-of-the-art solutions. |
| Month | March |
| Year | 2017 |
| Projekt | SFB876-C5 |
| Url | btw2017.informatik.uni-stuttgart.de |
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| Bibtex | Here you can get this literature entry as BibTeX format. |
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