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Query-based Partitioning of Documents and Indexes for Information Lifecycle Management

Summary: Query-based partitioning for information lifecycle management uses past keyword workloads and top-K click-throughs to estimate future access. Document-split inverted index achieves near-optimal partitioning with no tuning, delivering ~4× speedup when 20% of data sits on fast storage. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4082
Venue
SIGMOD
Year
2008
Pagerank
-
Overall Rank
13,756 | 5.63%
DOI
10.1145/1376616.1376680

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Authors

BibTeX Citation

@inproceedings{mitra_sigmod08,
        title = {{Query-based Partitioning of Documents and Indexes for Information Lifecycle Management}},
        author = {Mitra, Soumyadeb and Winslett, Marianne and Hsu, Windsor W.},
        series = {{SIGMOD} '08},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1376616.1376680},
        url = {https://dl.acm.org/doi/10.1145/1376616.1376680},
        year = {2008}
}

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