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Context-Based Prefetch for Implementing Objects on Relations

Summary: Context-based prefetching predicts navigational object accesses from the loaded object’s context—collections, query results, or complex objects—rather than fixed access patterns. Implemented in Microsoft Repository, it cuts runtime by up to 70%, with selective, asynchronous, and hint-driven variants. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
8769
Venue
VLDB
Year
1999
Pagerank
5.5846765e-05
Overall Rank
7,606 | 47.82%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{bernstein_vldb99,
        title = {{Context-Based Prefetch for Implementing Objects on Relations}},
        author = {Bernstein, Philip A. and Pal, Shankar and Shutt, David},
        journal = {PVLDB},
        series = {{VLDB} '99},
        pages = {327--338},
        year = {1999}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,273 Optimization of Query Streams Using Semantic Prefetching 2004 SIGMOD 5.9317551e-05
9,547 Tabular: Efficiently Building Efficient Indexes 2025 VLDB 5.2528121e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 8 of 8 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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