Poster: Generating Reproducible Out-of-Order Data Streams

Conference paper (2019)

Authors

Philipp Marian Grulich Technical University of Berlin
Jonas Traub DFKI GmbH, Technical University of Berlin
Sebastian Bress Technical University of Berlin, DFKI GmbH
A Katsifodimos Web Information Systems - EEMCS
Volker Markl Technical University of Berlin, DFKI GmbH
Tilmann Rabl Hasso Plattner Institute
Research Group
Web Information Systems (EEMCS) (TU Delft)
Copyright: © 2019 Philipp M. Grulich, Jonas Traub, Sebastian Bress, A Katsifodimos, Volker Markl, Tilmann Rabl
DOI: https://doi.org/10.1145/3328905.3332511
Benchmarking Stream Processing Data Generation Out-of-Order
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Published Date

24-06-2019

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Software Technology

Research Group

Web Information Systems

Abstract

Evaluating modern stream processing systems in a reproducible manner requires data streams with different data distributions, data rates, and real-world characteristics such as delayed and out-of-order tuples. In this paper, we present an open source stream generator which generates reproducible and deterministic out-of-order streams based on real data files, simulating arbitrary fractions of out-of-order tuples and their respective delays.