Publikation

Generating Reproducible Out-of-Order Data Streams

Philipp Grulich, Jonas Traub, Asterios Katsifodimos, Tilmann Rabl, Sebastian Breß, Volker Markl

In: Proceedings of the 13th ACM International Conference on Distributed and Event-based Systems. ACM International Conference on Distributed and Event-Based Systems (DEBS-2019) June 24-28 Darmstadt Germany Seiten 256-257 ISBN 978-1-4503-6794-3/19/06 ACM 2019.

Abstrakt

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.

Projekte

Grulich-Reproducible-out-of-order-streams-poster.pdf (pdf, 1 MB) Grulich-Reproducible-out-of-order-streams-paper.pdf (pdf, 4 MB)

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence