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The Performance and Utility of the Cactis Implementation Algorithms

Summary: Evaluates Cactis’s incremental, self-adaptive algorithms for maintaining derived data, targeting minimized update I/O. Across diverse schemas and transaction streams, Cactis reduces I/O by 50–90% and isolates the effects of schema complexity and individual optimizations. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h498874c73248b602
Venue
VLDB
Year
1990
Pagerank
8.6833735e-05
Overall Rank
2,286 | 84.68%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{drew_vldb90,
        title = {{The Performance and Utility of the Cactis Implementation Algorithms}},
        author = {Drew, Pamela and King, Roger and Hudson, Scott},
        journal = {PVLDB},
        series = {{VLDB} '90},
        year = {1990}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
1,735 A Stochastic Approach for Clustering in Object Bases 1991 SIGMOD 9.7534412e-05
2,042 On the Performance of Object Clustering Techniques 1992 SIGMOD 9.1275895e-05
2,377 Efficient Assembly of Complex Objects 1991 SIGMOD 8.5327717e-05
7,337 Self-Adaptive, On-Line Reclustering of Complex Object Data 1994 SIGMOD 5.53385e-05
13,139 Speculative Query Processing 2003 CIDR 4.9605343e-05
13,423 The Term Retrieval Abstract Machine 1992 SIGMOD 4.9605343e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
16 The Functional Data Model and the Data Language DAPLEX 1979 SIGMOD 0.00059778867
5,948 Object-Oriented Database Support for Software Environments 1987 SIGMOD 5.919041e-05
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