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2017

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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PEEL: A Framework for benchmarking distributed systems and algorithms

Christoph Boden, Alexander Alexandrov, Andreas Kunft, Tilmann Rabl, Volker Markl

Ninth TPC Technology Conference on Performance Evaluation & Benchmarking (TPCTC 2017) @VLDB 2017 2017

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Benchmarking Data Flow Systems for Scalable Machine Learning

Christoph Boden, Andrea Spina, Tilmann Rabl, Volker Markl.

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. 2017

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Query Centric Partitioning and Allocation for Partially Replicated Database Systems

Tilmann Rabl, Arne Jacobsen

In Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD '17). ACM, New York, NY, USA,, 315-330.. 2017

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Efficient Storage and Analysis of Genome Data in Databases

Sebastian Dorok, Sebastian Breß, Jens Teubner, Horstfried Läpple, Gunter Saake, Volker Markl

Proceedings of 17th Conference on Database Systems for Business, Technology, and Web (BTW), LNI 2017, 423-442. 2017

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I²: Interactive Real-Time Visualization for Streaming Data.

Jonas Traub, Nikolaas Steenbergen, Philipp Grulich, Tilmann Rabl, and Volker Markl.

in Proc. 20th International Conference on Extending Database Technology (EDBT), March 21-24, 2017. 2017

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Distributed Machine Learning - but at what COST?

Christoph Boden, Tilmann Rabl, Volker Markl

ML Systems Workshop@ NIPS2017 2017

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Mosaics: Stratosphere, Flink and Beyond

Volker Markl

33rd IEEE International Conference on Data Engineering, ICDE 2017

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Optimized On-Demand Data Streaming from Sensor Nodes

Jonas Traub, Sebastian Breß, Tilmann Rabl, Asterios Katsifodimos, Volker Markl

In Proceedings of SoCC ’17, Santa Clara, CA, USA, September 24–27, 12. 2017

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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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