NebulaStream: An Extensible, High-Performance Streaming Engine for Multi-Modal Edge Applications
Summary: Open-source, extensible streaming engine for distributed, heterogeneous IoT data across cloud–edge. Showcases high-performance execution on low-end devices and easy customization for multi-modal, multi-frequency streams, with a real smart-ICU health-use case. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christoph Falkensteiner
- 2. Kyle Krüger
- 3. Alexander Meyer
- 4. Tobias Röschl
- 5. Svea Wilkending
- 6. Adrian Michalke
- 7. Aljoscha P Lepping
- 8. Volker Markl
- 9. Ricardo Martinez
- 10. Nils L Schubert
- 11. Lukas Schwerdtfeger
- 12. Taha Tekdogan
- 13. Steffen Zeuch
- 14. Ariane Ziehn
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,263 | APEROL: Adaptive Parallel Edge-to-cloud Runtime Optimization for Layered Workflow Execution | 2026 | VLDB | 5.1725247e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,778 | Analyzing Efficient Stream Processing on Modern Hardware | 2019 | VLDB | 7.1851487e-05 |
| 5,148 | The NebulaStream Platform: Data and Application Management for the Internet of Things | 2020 | CIDR | 6.4101699e-05 |
| 10,972 | Query Compilation Without Regrets | 2024 | SIGMOD | 5.1725247e-05 |
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