An Adaptive Updating Protocol for Reducing Moving Object Database Workload
Summary: Adaptive updating for moving objects via Spatio-Temporal Safe Regions to reduce update traffic. Probes only when needed to preserve accuracy; a cost model balances active vs passive updates from history and query patterns, validated on index structures. (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. Zhenjie Zhang (National University of Singapore)
BibTeX Citation
@article{chen_vldb10,
title = {{An Adaptive Updating Protocol for Reducing Moving Object Database Workload}},
author = {Chen, Su and Ooi, Beng Chin and Zhang, Zhenjie},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {735--746},
doi = {10.14778/1920841.1920935},
url = {https://doi.org/10.14778/1920841.1920935},
year = {2010}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,334 | MOIST: A Scalable and Parallel Moving Object Indexer with School Tracking | 2012 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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