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)
Incoming Non-self Citations Over Time
Authors
- 1. Su Chen (National University of Singapore)
- 2. Beng Chin Ooi (National University of Singapore)
- 3. Kian-Lee Tan (National University of Singapore)
- 4. Mario A. Nascimento (University of Alberta)
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}
}
Incoming Citations (Sorted by Pagerank)
Showing 12 of 12 citing papers.
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 151 | An Efficient, Cost-Driven Index Selection Tool for Microsoft SQL Server | 1997 | VLDB | 0.00028672526 |
| 300 | OPTICS: Ordering Points To Identify the Clustering Structure | 1999 | SIGMOD | 0.00021810545 |
| 574 | Indexing the Positions of Continuously Moving Objects | 2000 | SIGMOD | 0.00016173068 |
| 965 | The Buddy-Tree: An Efficient and Robust Access Method for Spatial Data Base Systems | 1990 | VLDB | 0.00012809362 |
| 985 | The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries | 2003 | VLDB | 0.00012685169 |
| 1,227 | SINA: Scalable Incremental Processing of Continuous Queries in Spatio-temporal Databases | 2004 | SIGMOD | 0.000114264 |
| 2,064 | Query and Update Efficient B+-Tree Based Indexing of Moving Objects | 2004 | VLDB | 9.0942902e-05 |
| 2,243 | Conceptual Partitioning: An Efficient Method for Continuous Nearest Neighbor Monitoring | 2005 | SIGMOD | 8.7678247e-05 |
| 2,309 | STRIPES: An Efficient Index for Predicted Trajectories | 2004 | SIGMOD | 8.6626683e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 574 | Indexing the Positions of Continuously Moving Objects | 2000 | SIGMOD |
| 2 | 2,911 | Indexing Large Trajectory Data Sets With SETI* | 2003 | CIDR |
| 3 | 3,658 | Time-Parameterized Queries in Spatio-Temporal Databases | 2002 | SIGMOD |
| 4 | 6,578 | Workload-Aware Indexing of Continuously Moving Objects | 2009 | VLDB |
| 5 | 10,048 | Adaptive Indexing of Objects with Spatial Extent | 2023 | VLDB |
| 6 | 7,584 | Effectively Indexing Uncertain Moving Objects for Predictive Queries | 2009 | VLDB |
| 7 | 985 | The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries | 2003 | VLDB |
| 8 | 9,501 | An Adaptive Updating Protocol for Reducing Moving Object Database Workload | 2010 | VLDB |
| 9 | 2,421 | Novel Approaches to the Indexing of Moving Object Trajectories | 2000 | VLDB |
| 10 | 2,064 | Query and Update Efficient B+-Tree Based Indexing of Moving Objects | 2004 | VLDB |