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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)

Paper ID
9859
Venue
VLDB
Year
2009
Pagerank
4.9158166e-05
Overall Rank
6,819 | 52.57%
DOI
-

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