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TU Berlin

Inhalt des Dokuments

Publikationen

2019

AdaptiveWatermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams

Ahmed Awad, Jonas Traub, Sherif Sakr

22nd International Conference on Extending Database Technology (EDBT 2019). 2019

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Time Series Similarity Search for Streaming Data in Distributed Systems

Ariane Ziehn, Marcela Charfuelan, Holmer Hemsen, Volker Markl

DARLI_AP Workshop, co-located with EDBT/ICDT 2019 2019

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Efficient WindowAggregation with General Stream Slicing

Jonas Traub, Philipp Grulich, Alejandro Rodríguez Cuéllar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

22nd International Conference on Extending Database Technology (EDBT 2019). 2019

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Representations and Optimizations for Embedded Parallel Dataflow Languages

Alexander Alexandrov, Georgi Krastev, Volker Markl

ACM Transactions on Database Systems (TODS 2019) 2019

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2018

Efficient SIMD Vectorization for Hashing in OpenCL

Tobias Behrens Viktor Rosenfeld Jonas Traub Sebastian Breß Volker Markl

21th International Conference on Extending Database Technology (EDBT). 2018, 489-492. 2018

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Scotty: Efficient Window Aggregation for out-of-order Stream Processing

Jonas Traub Philipp Grulich Alejandro Rodríıguez Cuéllar Sebastian Breß Asterios Katsifodimos Tilmann Rabl Volker Markl

International Conference on Data Engineering (ICDE 2018), 1300-1303. 2018

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Efficient and Scalable k‑Means on GPUs

Clemens Lutz, Sebastian Breß, Tilmann Rabl, Steffen Zeuch, Volker Markl

Datenbank-Spektrum 18(3), 157-169. 2018

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Fault-Tolerance for Distributed Iterative Dataflows in Action

Chen Xu, Rudi Poepsel Lemaitre, Juan Soto, Volker Markl

PVLDB 11(12), 1990-1993. 2018

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Generating custom code for efficient query execution on heterogeneous processors

Sebastian Breß, Bastian Köcher, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl

VLDB J. 27(6), 797-822. 2018

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A survey of state management in big data processing systems

Quoc-Cuong To, Juan Soto, Volker Markl

VLDB J. 27(6), 847-872. 2018

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