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)
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Authors
- 1. Soumyadeb Mitra (University of Illinois Urbana-Champaign)
- 2. Marianne Winslett (University of Illinois Urbana-Champaign)
- 3. Windsor W. Hsu (Data Domain Inc.)
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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