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TU Berlin

Inhalt des Dokuments

Publications

2018

Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl (2018). Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing. International Conference on Extending Database Technology (EDBT)

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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)

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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)

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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)

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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

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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)

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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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Christoph Boden, Alexander Alexandrov, Andreas Kunft, Tilmann Rabl, Volker Markl (2017). PEEL: A Framework for benchmarking distributed systems and algorithms. Ninth TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC 2017) @VLDB 2017


Christoph Boden, Andrea Spina, Tilmann Rabl, Volker Markl. (2017). Benchmarking Data Flow Systems for Scalable Machine Learning. Proceedings of the 4th ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond (BeyondMR'17), Jan Hidders (Ed.). ACM, New York, NY, USA, Article 5, 10 pages., 10.

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