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.
Original language | English |
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Title of host publication | DEBS'19 |
Subtitle of host publication | Proceedings of the 13th ACM International Conference on Distributed and Event-Based Systems |
Place of Publication | New York |
Publisher | Association for Computing Machinery (ACM) |
Pages | 256-257 |
Number of pages | 2 |
ISBN (Electronic) | 978-1-4503-6794-3 |
DOIs | |
Publication status | Published - 24 Jun 2019 |
Event | 13th ACM International Conference on Distributed and Event-Based Systems, DEBS 2019 - Darmstadt, Germany Duration: 24 Jun 2019 → 28 Jun 2019 |
Conference
Conference | 13th ACM International Conference on Distributed and Event-Based Systems, DEBS 2019 |
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Country | Germany |
City | Darmstadt |
Period | 24/06/19 → 28/06/19 |
Keywords
- Benchmarking
- Data Generation
- Out-of-Order
- Stream Processing