Publications

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

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

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.

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)

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

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.

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

Chen Xu, Rudi Poepsel Lemaitre, Juan Soto, Volker Markl (2018). Fault-Tolerance for Distributed Iterative Dataflows in Action. PVLDB 11(12), 1990-1993.

Enno Folkerts, Alexander Alexandrov, Kai Sachs, Alexandru Iosup, Volker Markl, Cafer Tosun (2012). Benchmarking in the Cloud: What It Should, Can, and Cannot Be. Selected Topics in Performance Evaluation and Benchmarking, Part of the Lecture Notes in Computer Science book series (LNCS), TPCTC 2012, 173-188.