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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)

Paper ID
7227
Venue
SIGMOD
Year
2025
Pagerank
-
Overall Rank
13,308 | 8.70%
DOI
10.1145/3722212.3725116

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Authors

BibTeX Citation

@inproceedings{duarte_sigmod25,
        title = {{Mobility Stream Processing on NebulaStream and MEOS}},
        author = {Duarte, Mariana M. Garcez and Bevernage, Evert and Zimányi, Esteban and Nugroho, Dwi P. A. and Moelans, Pieter and Sakr, Mahmoud and Tod, Georges and Tas, Emine and Zeuch, Steffen and Markl, Volker},
        series = {{SIGMOD} '25},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3722212.3725116},
        url = {https://dl.acm.org/doi/10.1145/3722212.3725116},
        year = {2025}
}

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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
5,215 The NebulaStream Platform: Data and Application Management for the Internet of Things 2020 CIDR 6.3124972e-05
10,072 Query Compilation Without Regrets 2024 SIGMOD 5.1624689e-05
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