DOI

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.

Original languageEnglish
Title of host publicationDEBS'19
Subtitle of host publicationProceedings of the 13th ACM International Conference on Distributed and Event-Based Systems
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages256-257
Number of pages2
ISBN (Electronic)978-1-4503-6794-3
DOIs
Publication statusPublished - 24 Jun 2019
Event13th ACM International Conference on Distributed and Event-Based Systems, DEBS 2019 - Darmstadt, Germany
Duration: 24 Jun 201928 Jun 2019

Conference

Conference13th ACM International Conference on Distributed and Event-Based Systems, DEBS 2019
CountryGermany
CityDarmstadt
Period24/06/1928/06/19

    Research areas

  • Benchmarking, Data Generation, Out-of-Order, Stream Processing

ID: 66539232