LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics
Summary: LiquidCache: pushdown disaggregated cache that transcodes Parquet into a lightweight, cache-only “Liquid” format so filters are evaluated at cache servers without expensive Parquet decoding. Achieves ~10x cache CPU reduction and ~100x network cut with no extra memory. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Xiangpeng Hao (University of Wisconsin)
- 2. Andrew Lamb (InfluxData)
- 3. Yibo Wu (University of Wisconsin)
- 4. Andrea Arpaci-Dusseau (University of Wisconsin)
- 5. Remzi Arpaci-Dusseau (University of Wisconsin)
BibTeX Citation
@article{hao_vldb25,
title = {{LiquidCache: Efficient Pushdown Caching for Cloud-Native Data Analytics}},
author = {Hao, Xiangpeng and Lamb, Andrew and Wu, Yibo and Arpaci-Dusseau, Andrea and Arpaci-Dusseau, Remzi},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {13},
pages = {5662--5675},
doi = {10.14778/3773731.3773741},
url = {https://doi.org/10.14778/3773731.3773741},
year = {2025}
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