Caching and Database Scaling in Distributed Shared-Nothing Information Retrieval Systems
Summary: Trace-driven study of caching, indexing, and scaling in distributed shared-nothing IR over abstract collections. It shows physical index design and inverted-index caching strongly affect throughput; scaling is analyzed via (1) optimal single-host config with linear growth and (2) optimal host count for fixed DB size. (summarized by gpt-5-nano on Feb 09 2026)
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Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,833 | Interaction of Query Evaluation and Buffer Management for Information Retrieval | 1998 | SIGMOD | 8.0471658e-05 |
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