BitFun: Fast Answers to Queries with Tunable Functions in Geospatial Array DBMS
Summary: BitFun introduces continuous bitmap indexing to accelerate tunable geospatial array queries by re-indexing on-the-fly for similar function parameters. Up to 8x faster than re-computing from scratch, with real-world lessons, GUI-guided tuning, and insights for geospatial array DBMS. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Ramon Antonio Rodriges Zalipynis (National Research University Higher School of Economics)
BibTeX Citation
@article{zalipynis_vldb20,
title = {{BitFun: Fast Answers to Queries with Tunable Functions in Geospatial Array DBMS}},
author = {Zalipynis, Ramon Antonio Rodriges},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2909--2912},
doi = {10.14778/3415478.3415506},
url = {https://doi.org/10.14778/3415478.3415506},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,088 | Array DBMS: Past, Present, and (Near) Future | 2021 | VLDB | 5.3942942e-05 |
| 11,903 | WebArrayDB: A Geospatial Array DBMS in Your Web Browser | 2022 | VLDB | 4.9793485e-05 |
| 11,994 | Convergence of Array DBMS and Cellular Automata: A Road Traffic Simulation Case | 2021 | SIGMOD | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 672 | The TileDB Array Data Storage Manager | 2017 | VLDB | 0.0001489638 |
| 1,408 | A Demonstration of SciDB: A Science-Oriented DBMS | 2009 | VLDB | 0.00010743556 |
| 2,422 | Parallel Data Analysis Directly on Scientific File Formats | 2014 | SIGMOD | 8.4891004e-05 |
| 4,790 | ChronosDB: Distributed, File Based, Geospatial Array DBMS | 2018 | VLDB | 6.4134808e-05 |
| 12,164 | ChronosDB in Action: Manage, Process, and Visualize Big Geospatial Arrays in the Cloud | 2019 | SIGMOD | 4.9793485e-05 |
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