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Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models

Martin Kiefer, Max Heimel, Sebastian Breß, Volker Markl

Proceedings of the VLDB Endowment, Volume 10, No. 13. 2017 (to be presented in VLDB 2018) 2017

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Spinning Fast Iterative Data Flows

Stephan Ewen, Kostas Tzoumas, Moritz Kaufmann, Volker Markl

Proceedings of the VLDB Endowment (PVLDB),, 1268-1279. 2012

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Analyzing Efficient Stream Processing on Modern Hardware

Steffen Zeuch, Sebastian Breß, Tilmann Rabl, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Volker Markl

Proceedings of the VLDB Endowment, 516-530. 2019

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Dynamic Parameter Allocation in Parameter Servers

Alexander Renz-Wieland, Rainer Gemulla, Steffen Zeuch, Volker Markl

Proceedings of the VLDB Endowment 2020

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An Intermediate Representation for Optimizing Machine Learning Pipelines

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Sebastian Breß, Tilmann Rabl, Volker Markl

Proceedings of the VLDB Endowment, 1553-1567. 2019

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Myriad: Scalable and Expressive Data Generation.

Alexander Alexandrov, Kostas Tzoumas, Volker Markl

Proceedings of the VLDB Endowment, 1890-1893. 2012

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AJoin: Adhoc Stream Joins at Scale

Jeyhun Karimov, Tilmann Rabl, Volker Markl

Proceedings of the VLDB Endowment 2020

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Efficient Migration of Very Large Distributed State for Scalable Stream Processing

Bonaventura Del Monte

Proceedings of the VLDB 2017 PhD Workshop 2017

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Efficient Fault Tolerance for Massively Parallel Dataflow Systems

Sergej Dudoladov

Proceedings of the VLDB 2016 PhD Workshop, co-located with the 42nd International Conference on Very Large Databases 2016

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Robust Query Processing in Co-Processor-accelerated Databases.

Sebastian Breß, Henning Funke, Jens Teubner, Volker Markl

Proceedings of the LWA 2016 Workshops: KDML, FGWM, IR, and FGDB, 233. 2016

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