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P265 - BTW2017 - Datenbanksysteme für Business, Technologie und Web

https://dl.gi.de/handle/20.500.12116/21090
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Auflistung P265 - BTW2017 - Datenbanksysteme für Business, Technologie und Web nach Autor:in "Berens, Maximilian"

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  • Konferenzbeitrag
    DeLorean: A Storage Layer to Analyze Physical Data at Scale
    (Datenbanksysteme für Business, Technologie und Web (BTW 2017), 2017) Kußmann, Michael; Berens, Maximilian; Eitschberger, Ulrich; Kilic, Ayse; Lindemann, Thomas; Meier, Frank; Niet, Ramon; Schellenberg, Margarete; Stevens, Holger; Wishahi, Julian; Spaan, Bernhard; Teubner, Jens
    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.