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A Benchmark for Evaluating Moving Object Indexes

Summary: Proposes a benchmark for evaluating moving-object indexes, targeting current and near-future position data. Emphasizes update efficiency, query performance, concurrency control, and storage; validates the benchmark on six indexes to reveal tradeoffs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9805
Venue
VLDB
Year
2008
Pagerank
5.1593242e-05
Overall Rank
6,202 | 56.86%
DOI
-

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