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Polaris: An Interactive and Scalable Data Infrastructure for Polar Science

Summary: Polaris targets polar-science workloads with a hierarchical spatio-temporal index and precomputed aggregates, exploiting spatial/temporal queries, unequal data importance, and aggregate dominance. Its prototype enables interactive, scalable access without bulk downloads or ad hoc scripts. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14261
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,990 | 24.60%
DOI
10.14778/3749646.3749719

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Authors

BibTeX Citation

@article{huang_vldb25,
        title = {{Polaris: An Interactive and Scalable Data Infrastructure for Polar Science}},
        author = {Huang, Yuchuan and Uribe, Ana Elena and Hussein, Youssef and Eldahshoury, Kareem and Ogren, Grant and Mokbel, Mohamed F.},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {11},
        pages = {4644--4652},
        doi = {10.14778/3749646.3749719},
        url = {https://doi.org/10.14778/3749646.3749719},
        year = {2025}
}

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