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On the Performance of Object Clustering Techniques

Summary: Four Tektronix workloads show stochastic clustering yields top performance, despite high cost. No cheap substitute matches stochastic; the best alternative depends on goals: cold-cache traversals favor placement trees; large-cache steady-state favors PRP. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2642
Venue
SIGMOD
Year
1992
Pagerank
9.3427219e-05
Overall Rank
1,992 | 86.34%
DOI
10.1145/130283.130308

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{tsangaris_sigmod92,
        title = {{On the Performance of Object Clustering Techniques}},
        author = {Tsangaris, Manolis M. and Naughton, Jeffrey F.},
        series = {{SIGMOD} '92},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/130283.130308},
        url = {https://dl.acm.org/doi/10.1145/130283.130308},
        year = {1992}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
1,346 Fido: A Cache That Learns to Fetch 1991 VLDB 0.00011078024
1,709 A Stochastic Approach for Clustering in Object Bases 1991 SIGMOD 9.9585965e-05
2,229 The Performance and Utility of the Cactis Implementation Algorithms 1990 VLDB 8.9030801e-05
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