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Generating Reproducible Out-of-Order Data Streams
Zitatschlüssel	DBLP:conf/debs/GrulichTBKMR19
Autor	Philipp M. Grulich, Jonas Traub, Sebastian Bress, Asterios Katsifodimos, Volker Markl, Tilmann Rabl
Jahr	2019
Journal	DEBS
Zusammenfassung	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.

Link zur Publikation [1] Link zur Originalpublikation [2] Download Bibtex Eintrag [3]

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[1] https://www.nebula.stream/paper/grulich_debs2019.pd
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[2] https://dl.acm.org/doi/10.1145/3328905.3332511

[3] https://www.dima.tu-berlin.de/menue/publikationen/p
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[4] https://www.dima.tu-berlin.de/menue/publikationen/p
ublikationen/parameter/de/font5/maxhilfe/

[5] https://www.dima.tu-berlin.de/menue/publikationen/b
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