A Demonstration of Polaris: An Interactive and Scalable Data Infrastructure for Polar Science
Summary: Polaris is an open-source infrastructure for polar-science workloads, exploiting their spatio-temporal, unequal-value, aggregate-heavy nature. Its hierarchical spatio-temporal index stores precomputed aggregates to deliver interactive, scalable queries. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Yuchuan Huang (University of Minnesota)
- 2. Ana Elena Uribe (University of Minnesota)
- 3. Youssef Hussein (University of Minnesota)
- 4. Grant Ogren (University of Minnesota)
- 5. Kareem Eldahshoury (University of Minnesota)
- 6. Mohamed F. Mokbel (University of Minnesota)
BibTeX Citation
@article{huang_vldb25,
title = {{A Demonstration of Polaris: An Interactive and Scalable Data Infrastructure for Polar Science}},
author = {Huang, Yuchuan and Uribe, Ana Elena and Hussein, Youssef and Ogren, Grant and Eldahshoury, Kareem and Mokbel, Mohamed F.},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5347--5350},
doi = {10.14778/3750601.3750668},
url = {https://doi.org/10.14778/3750601.3750668},
year = {2025}
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|---|---|---|---|---|
| 669 | The TileDB Array Data Storage Manager | 2017 | VLDB | 0.00015163245 |
| 3,668 | Efficient Processing of Window Queries in The Pyramid Data Structure | 1990 | PODS | 7.2125892e-05 |
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