A Demonstration of Polaris: An Interactive and Scalable Data Infrastructure for Polar Science
Summary: Polaris: open-source, interactive, scalable data infrastructure for polar science that exploits three workload observations—every query is spatio-temporal, data heterogeneity, and aggregate-dominance—to specialize storage and indexing. Core novelty: a hierarchical spatio-temporal index that stores selective precomputed aggregates for "data of interest," enabling highly interactive, scalable aggregate query processing and optimized query plans. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Yuchuan Huang
- 2. Ana Elena Uribe
- 3. Youssef Hussein
- 4. Grant Ogren
- 5. Kareem Eldahshoury
- 6. Mohamed F. Mokbel
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 734 | The TileDB Array Data Storage Manager | 2017 | VLDB | 0.00017455248 |
| 3,615 | Efficient Processing of Window Queries in The Pyramid Data Structure | 1990 | PODS | 6.9127616e-05 |