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MAGPIE: A Scalable Data Storage System for Efficient High Volume Data Queries

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2019

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Gesellschaft für Informatik, Bonn

Zusammenfassung

Modern challenges in huge sized data storage and querying require new approaches in the field of data storage systems. With MAGPIE, we are introducing a hardware-software-co-design, which is efficient in querying data by distributed storage with storage-near pre-processing and designed to be scalable up to large dimensions.

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Lindemann, Thomas; Brinkmann, Patrick; Dalbah, Fadi; Hakert, Christian; Honysz, Philipp-Jan; Matuszczyk, Daniel; Müller, Nikolas; Schmulbach, Alexander; Todorinski, Stefan Petyov; Tüselmann, Oliver; Wonsak, Shimon; Teubner, Jens (2019): MAGPIE: A Scalable Data Storage System for Efficient High Volume Data Queries. BTW 2019. DOI: 10.18420/btw2019-41. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-683-1. pp. 543-546. Demonstrationen. Rostock. 4.-8. März 2019

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