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Publications

A

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.

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3

Anja Feldmann, Manfred Hauswirth, Volker Markl (2017). Enabling Wide Area Data Analytics with Collaborative Distributed Processing Pipelines (CDPPs). 37th International Conference on Distributed Computing Systems, ICDCS

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Alexander Renz-Wieland, Matthias Bertsch, Rainer Gemulla, (2019). Scalable Frequent Sequence Mining With Flexible Subsequence Constraints. 35th IEEE International Conference on Data Engineering (ICDE 2019)

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2

Ahmed Awad, Jonas Traub, Sherif Sakr (2019). AdaptiveWatermarks: A Concept Drift-based Approach for Predicting Event-Time Progress in Data Streams. 22nd International Conference on Extending Database Technology (EDBT 2019).

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Jonas Traub, Philipp Grulich, Alejandro Rodríguez Cuéllar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl (2019). Efficient WindowAggregation with General Stream Slicing. 22nd International Conference on Extending Database Technology (EDBT 2019).

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Tobias Behrens Viktor Rosenfeld Jonas Traub Sebastian Breß Volker Markl (2018). Efficient SIMD Vectorization for Hashing in OpenCL. 21th International Conference on Extending Database Technology (EDBT 2018). 2018, 489-492.

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Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl (2018). Benchmarking Distributed Stream Data Processing Systems. 34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, 1507-1518.

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Xu, Chen; Holzemer, Markus; Kaul, Manohar; Markl, Volker (2016). Efficient fault-tolerance for iterative graph processing on distributed dataflow systems. 2016 IEEE 32nd International Conference on Data Engineering (ICDE), 613-624.

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Schelter, Sebastian and Ewen, Stephan and Tzoumas, Kostas and Markl, Volker (2013). “All Roads Lead to Rome:” Optimistic Recovery for Distributed Iterative Data Processing. Proceedings of the ACM conference on Information and Knowledge Management} year={2013

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Schelter, Sebastian and Boden, Christoph and Schenck, Martin and Alexandrov, Alexander and Markl, Volker (2013). Distributed matrix factorization with MapReduce using a series of broadcast-joins. Proceedings of the 7th ACM conference on Recommender systems, 281–284.

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