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)
Incoming Non-self Citations Over Time
Authors
- 1. Su Chen
- 2. Christian S. Jensen
- 3. Dan Lin
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 |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0032169493 |
| 6 | The R*-tree: An Efficient and Robust Access Method for Points and Rectangles | 1990 | SIGMOD | 0.0016162015 |
| 631 | Indexing the Positions of Continuously Moving Objects | 2000 | SIGMOD | 0.00018935493 |
| 1,067 | The TPR*-Tree: An Optimized Spatio-Temporal Access Method for Predictive Queries | 2003 | VLDB | 0.00014327945 |
| 1,774 | Query and Update Efficient B+-Tree Based Indexing of Moving Objects | 2004 | VLDB | 0.00010604097 |
| 2,534 | STRIPES: An Efficient Index for Predicted Trajectories | 2004 | SIGMOD | 8.5890923e-05 |
| 4,683 | ST2B-tree: A Self-Tunable Spatio-Temporal B+-tree Index for Moving Objects | 2008 | SIGMOD | 6.0010961e-05 |
| 4,692 | Supporting Frequent Updates in R-Trees: A Bottom-Up Approach | 2003 | VLDB | 5.9958252e-05 |
| 9,258 | Main-Memory Operation Buffering for Efficient R-Tree Update | 2007 | VLDB | 4.3690661e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,020 | Magic mirror in my hand, which is the best in the land? An Experimental Evaluation of Index Selection Algorithms | 2020 | VLDB | 9.762624e-05 |
| 5,074 | Learned Index: A Comprehensive Experimental Evaluation | 2023 | VLDB | 5.7175726e-05 |
| 675 | The OO7 Benchmark | 1993 | SIGMOD | 0.00018316592 |
| 7,779 | Index Research: Forest or Trees? | 2000 | SIGMOD | 4.6535251e-05 |
| 4,128 | Are Updatable Learned Indexes Ready? | 2022 | VLDB | 6.4292373e-05 |
| 1,488 | On the Analysis of Indexing Schemes | 1997 | PODS | 0.00011699446 |
| 9,256 | An Adaptive Updating Protocol for Reducing Moving Object Database Workload | 2010 | VLDB | 4.3690661e-05 |
| 1,460 | Benchmarking Learned Indexes | 2021 | VLDB | 0.00011887068 |
| 1,774 | Query and Update Efficient B+-Tree Based Indexing of Moving Objects | 2004 | VLDB | 0.00010604097 |
| 10,748 | Benchmarking Adaptive Multidimensional Indices | 2025 | VLDB | 4.1945683e-05 |