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TU Berlin

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Publikationen

H

Peeking into the optimization of data flow programs with MapReduce-style UDFs

Fabian Hueske and Mathias Peters and Aljoscha Krettek and Matthias Ringwald and Kostas Tzoumas and Volker Markl and Johann-Christoph Freytag

ICDE, 1292-1295. 2013

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Automatic Tuning of Read-Time Tolerances for Optimized On-Demand Data-Streaming from Sensor Nodes

Hülsmann, Julius, and Li, Chiao-Yun and Traub, Jonas and Markl, Volker

EDBT 2021

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I

Math-2 Task Overview

Schubotz Moritz; Aizawa Akiko; Kohlhase Michael; Ounis Iadh

Proceedings of the 11th NTCIR Conference, 88-98. 2014

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Distributed Graph Analytics with Datalog Queries in Flink

Muhammad Imran and Gábor E. Gévay and Volker Markl

LSGDA 2020 - International Workshop on Large Scale Graph Data Analytics 2020

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J

PolyBench: The First Benchmark for Polystores

Jeyhun Karimov, Tilmann Rabl, Volker Markl

TPCTC 2018, 24-41. 2018

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AStream: Ad-hoc Shared Stream Processing

Jeyhun Karimov, Tilmann Rabl, Volker Markl

Proceedings of the 2019 International Conference on Management of Data (SIGMOD 2019), 607–622. 2019

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Benchmarking Distributed Stream Data Processing Systems

Jeyhun Karimov, Tilmann Rabl, Asterios Katsifodimos, Roman Samarev, Henri Heiskanen, Volker Markl

34th IEEE International Conference on Data Engineering, ICDE 2018, Paris, France, April 16-19, 2018, 1507-1518. 2018

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AJoin: Adhoc Stream Joins at Scale

Jeyhun Karimov, Tilmann Rabl, Volker Markl

Proceedings of the VLDB Endowment 2020

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Operators for Analyzing and Modifying\\Probabilistic Data – A Question of Efficiency

Jochen Adamek, Katrin Eisenreich, Volker Markl, Philipp Roesch

Proc. of BTW '11 2011

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Scotty: General and Efficient Open-Source Window Aggregation for Stream Processing Systems

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

ACM Transactions on Database Systems 2020

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