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Publications

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Sergej Dudoladov (2016). Efficient Fault Tolerance for Massively Parallel Dataflow Systems. Proceedings of the VLDB 2016 PhD Workshop, co-located with the 42nd International Conference on Very Large Databases

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Bonaventura Del Monte (2017). Efficient Migration of Very Large Distributed State for Scalable Stream Processing. Proceedings of the VLDB 2017 PhD Workshop

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Alexander Alexandrov, Kostas Tzoumas, Volker Markl (2012). Myriad: Scalable and Expressive Data Generation.. Proceedings of the VLDB Endowment, 1890-1893.

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Steffen Zeuch, Sebastian Breß, Tilmann Rabl, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Volker Markl: (2019). Analyzing Efficient Stream Processing on Modern Hardware.. Proceedings of the VLDB Endowment, 516-530 .


Stephan Ewen, Kostas Tzoumas, Moritz Kaufmann, Volker Markl (2012). Spinning Fast Iterative Data Flows. Proceedings of the VLDB Endowment (PVLDB),, 1268-1279.

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Martin Kiefer, Max Heimel, Sebastian Breß, Volker Markl (2017). Estimating Join Selectivities using Bandwidth-Optimized Kernel Density Models. Proceedings of the VLDB Endowment, Volume 10, No. 13. 2017 (to be presented in VLDB 2018)

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Philipp M. Grulich, Tilmann Rabl, Volker Markl, Csaba Sidló, Andras Benczur (2017). STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion. Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference

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Max Heimel and Michael Saecker and Holger Pirk and Stefan Manegold and Volker Markl (2013). Hardware-Oblivious Parallelism for In-Memory Column-Stores. PVLDB, 709-720.


Steffen Zeuch, Sebastian Breß,Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz,Jonas Traub, Volker Markl (2019). Analyzing Efficient Stream Processing on Modern Hardware. PVLDB, 516-530.

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Wook-Shin Han and Wooseong Kwak and Jinsoo Lee and Guy M. Lohman and Volker Markl (2008). Parallelizing query optimization. PVLDB, 188-200.


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