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I/O-Conscious Data Preparation for Large-Scale Web Search Engines

Summary: I/O-conscious data preparation for external-memory data in large-scale web search engines using coordinated partitioning and delayed batched execution to maximize temporal locality and sequential I/O. Prototype Yuntis shows ~100x speedups over naïve implementations and scales with distributed storage and parallel processing. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9051
Venue
VLDB
Year
2002
Pagerank
-
Overall Rank
13,976 | 4.12%
DOI
10.1016/B978-155860869-6/50041-X

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BibTeX Citation

@article{lifantsev_vldb02,
        title = {{I/O-Conscious Data Preparation for Large-Scale Web Search Engines}},
        author = {Lifantsev, Maxim and Chiueh, Tzi-cker},
        journal = {PVLDB},
        series = {{VLDB} '02},
        doi = {10.1016/B978-155860869-6/50041-X},
        url = {https://doi.org/10.1016/B978-155860869-6/50041-X},
        year = {2002}
}

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