Mobility Stream Processing on NebulaStream and MEOS
Summary: NebulaMEOS fuses MEOS spatiotemporal analytics with NebulaStream for real-time, in-situ processing of IoT mobility streams. Demo on SNCB train data, showcasing geofencing and geospatial CEP for scalable live spatiotemporal queries in a streaming DB. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mariana M. Garcez Duarte
- 2. Evert Bevernage
- 3. Esteban Zimányi
- 4. Dwi P. A. Nugroho
- 5. Pieter Moelans
- 6. Mahmoud Sakr
- 7. Georges Tod
- 8. Emine Tas
- 9. Steffen Zeuch
- 10. Volker Markl
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,427 | The NebulaStream Platform: Data and Application Management for the Internet of Things | 2020 | CIDR | 5.509468e-05 |
| 10,969 | Query Compilation Without Regrets | 2024 | SIGMOD | 4.1945683e-05 |
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