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STORM: Spatio-Temporal Online Reasoning and Management of Large Spatio-Temporal Data

Summary: STORM enables online reasoning and management of large spatio-temporal data. Novel spatial online sampling fuels interactive spatio-temporal analytics; online aggregates with quality guarantees yield immediate approximations, tightening as execution progresses. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5050
Venue
SIGMOD
Year
2015
Pagerank
5.093636e-05
Overall Rank
12,112 | 16.91%
DOI
10.1145/2723372.2735373

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Authors

BibTeX Citation

@inproceedings{christensen_sigmod15,
        title = {{STORM: Spatio-Temporal Online Reasoning and Management of Large Spatio-Temporal Data}},
        author = {Christensen, Robert and Wang, Lu and Li, Feifei and Yi, Ke and Tang, Jun and Villa, Natalee},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2735373},
        url = {https://dl.acm.org/doi/10.1145/2723372.2735373},
        year = {2015}
}

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