Workload-Aware Indexing of Continuously Moving Objects
Summary: Proposes QU-Trade, a workload-aware extension of R-tree indexes for moving objects, tuning filtering quality to update-vs-query workloads. Online, region-aware updates drop during bursts, preserving query performance in hot regions; applied to R-tree and TPR-tree. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kostas Tzoumas (Aalborg University)
- 2. Man Lung Yiu (Aalborg University)
- 3. Christian S. Jensen (Aalborg University)
BibTeX Citation
@article{tzoumas_vldb09,
title = {{Workload-Aware Indexing of Continuously Moving Objects}},
author = {Tzoumas, Kostas and Yiu, Man Lung and Jensen, Christian S.},
journal = {PVLDB},
series = {{VLDB} '09},
doi = {10.14778/1687627.1687761},
url = {https://doi.org/10.14778/1687627.1687761},
year = {2009}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,395 | AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data | 2015 | VLDB | 6.2331619e-05 |
| 5,623 | Efficient Proximity Detection among Mobile Users via Self-Tuning Policies | 2010 | VLDB | 6.1453429e-05 |
| 6,323 | Modeling Shifting Workloads for Learned Database Systems | 2024 | SIGMOD | 5.9141228e-05 |
| 8,644 | Incremental Partitioning for Efficient Spatial Data Analytics | 2022 | VLDB | 5.3934068e-05 |
| 9,254 | Boosting Moving Object Indexing through Velocity Partitioning | 2012 | VLDB | 5.297624e-05 |
| 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 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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