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LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases

Summary: LifeRaft batches long, data‑intensive queries by ordering scans to maximize overlapping data access, reducing I/O and improving cache reuse. Adaptive head‑scheduling‑inspired policies balance throughput and latency to avoid starvation; achieves ~2× throughput on SkyQuery. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
115
Venue
CIDR
Year
2009
Pagerank
5.093636e-05
Overall Rank
12,482 | 14.37%
DOI
-

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BibTeX Citation

@inproceedings{wang_cidr09,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '09},
        title = {{LifeRaft: Data-Driven, Batch Processing for the Exploration of Scientific Databases}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Wang, Xiaodan and Burns, Randal and Malik, Tanu},
        year = {2009}
}

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