direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Page Content

Publications

2018


Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl (2018). Benchmarking Distributed Stream Data Processing Systems. International Conference on Data Engineering (ICDE 2018), 1507-1518.

Link to publication Link to original publication

Henning Funke Sebastian Breß Stefan Noll Volker Markl Jens Teubner (2018). Pipelined Query Processing in Coprocessor Environments. In International Conference on Management of Data (SIGMOD 2018), 1603-1618.

Link to publication Link to original publication

Andreas Kunft, Lukas Stadler, Daniele Bonetta, Cosmin Basca, Jens Meiners, Sebastian Breß, Tilmann Rabl, Juan Fumero, Volker Markl (2018). ScootR: Scaling R Dataframes on Dataflow Systems. SoCC'18:, 288-300.

Link to original publication

Volker Markl (2018). Mosaics in Big Data, Stratosphere, Apache Flink, and Beyond. ACM International Conference on Distributed and Event-based Systems (DEBS 2018):, 7-13.

Link to publication Link to original publication

2017

Andreas Kunft, Asterios Katsifodimos, Sebastian Schelter, Tilmann Rabl, Volker Markl (2017). BlockJoin: Efficient Matrix Partitioning Through Joins.. In the Proceedings of the VLDB Endowment, Vol. 10, No. 13. 2017 (to be presented in VLDB 2018)

Link to publication

Till Rohrmann, Sebastian Schelter, Tilmann Rabl, Volker Markl (2017). Gilbert: Declarative Sparse Linear Algebra on Massively Parallel Dataflow Systems. Fachtagung für Business, Technologie und Web (BTW)

Link to publication

Paris Carbone, Gábor E. Gévay, Gábor Hermann, Asterios Katsifodimos, Juan Soto, Volker Markl, Seif Haridi (2017). "Large-Scale Data Stream Processing Systems. Book chapter on Large-Scale Data Stream Processing Systems, part of the Handbook of Big Data Technologies 2017 (Elsevier): 219-260.


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

Link to publication Link to original publication

Bonaventura Del Monte, Jeyhun Karimov, Alireza Rezaei Mahdiraji, Tilmann Rabl, Volker Markl (2017). PROTEUS: Scalable Online Machine Learning for Predictive Analytics and Real-Time Interactive Visualization. in Proc. 20th International Conference on Extending Database Technology (EDBT)

Link to publication

Zusatzinformationen / Extras

Quick Access:

Schnellnavigation zur Seite über Nummerneingabe

Auxiliary Functions