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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
8860
Venue
VLDB
Year
2002
Pagerank
-
Overall Rank
13,775 | 4.17%
DOI
-

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