@inproceedings{bc5b27da1dfd43cab74414674a0dedc9,
title = "Poster: Generating Reproducible Out-of-Order Data Streams",
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.",
keywords = "Benchmarking, Data Generation, Out-of-Order, Stream Processing",
author = "Grulich, {Philipp M.} and Jonas Traub and Sebastian Bress and Asterios Katsifodimos and Volker Markl and Tilmann Rabl",
year = "2019",
month = jun,
day = "24",
doi = "10.1145/3328905.3332511",
language = "English",
series = "DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems",
publisher = "Association for Computing Machinery (ACM)",
pages = "256--257",
booktitle = "DEBS 2019 - Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems",
address = "United States",
note = "13th ACM International Conference on Distributed and Event-Based Systems, DEBS 2019 ; Conference date: 24-06-2019 Through 28-06-2019",
}