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ST2B-tree: A Self-Tunable Spatio-Temporal B+-tree Index for Moving Objects

Summary: ST2 B-tree: a self-tunable spatio-temporal B+-tree for moving objects that adapts to evolving data and workloads. Online tuning framework reconfigures subtrees (reference points, grid size) with negligible overhead, enabling automatic, non-disruptive tuning and reduced query degradation. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4037
Venue
SIGMOD
Year
2008
Pagerank
6.9403241e-05
Overall Rank
4,043 | 72.27%
DOI
10.1145/1376616.1376622

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod08,
        title = {{ST2B-tree: A Self-Tunable Spatio-Temporal B+-tree Index for Moving Objects}},
        author = {Chen, Su and Ooi, Beng Chin and Tan, Kian-Lee and Nascimento, Mario A.},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376622},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376622},
        year = {2008}
}

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