Eureka: Enabling Fine-Grained Access and Range Queries on Compressed Scientific Data via Data-Index Co-Compression
Summary: Eureka co-compresses error-bounded scientific data with a hierarchical, compressed AVL range index, enabling selective decompression and query-time pruning. It achieves up to 300× index compression and 30× faster low-selectivity range queries. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Ning Yan (Georgia State University)
- 2. Sheng Di (Argonne National Laboratory)
- 3. Kai Zhao (Florida State University)
- 4. Lipeng Wan (Georgia State University)
BibTeX Citation
@article{yan_vldb26,
title = {{Eureka: Enabling Fine-Grained Access and Range Queries on Compressed Scientific Data via Data-Index Co-Compression}},
author = {Yan, Ning and Di, Sheng and Zhao, Kai and Wan, Lipeng},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {4},
pages = {631--643},
doi = {10.14778/3785297.3785305},
url = {https://doi.org/10.14778/3785297.3785305},
year = {2026}
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|---|---|---|---|---|
| 4,065 | LeCo: Lightweight Compression via Learning Serial Correlations | 2024 | SIGMOD | 6.930275e-05 |
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