Philipp M. Grulich, Jonas Traub, Asterios Katsifodimos, Tilmann Rabl, Sebastian Breß, and Volker Markl
Our poster "Generating Reproducible Out-of-Order Data Streams" has been accepted at the DEBS Conference 2019.
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.
