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Database Buffer Size Investigation for OLTP Workloads

Summary: Empirical study on real-world OLTP databases shows how buffer size, database size, and CPU count affect throughput and buffer hits on SMP systems. Offers predictive models and rules-of-thumb for memory sizing vs. CPU scaling in OLTP workloads. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3001
Venue
SIGMOD
Year
1997
Pagerank
7.0826614e-05
Overall Rank
3,837 | 73.68%
DOI
10.1145/253260.253279

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{tsuei_sigmod97,
        title = {{Database Buffer Size Investigation for OLTP Workloads}},
        author = {Tsuei, Thin-Fong and Packer, Allan N. and Ko, Keng-Tai},
        series = {{SIGMOD} '97},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/253260.253279},
        url = {https://dl.acm.org/doi/10.1145/253260.253279},
        year = {1997}
}

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Showing 4 of 4 citing papers.

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794 Bitmap Index Design and Evaluation 1998 SIGMOD 0.00013969303
5,504 Flash-Based Extended Cache for Higher Throughput and Faster Recovery 2012 VLDB 6.1946862e-05
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9,775 Twisted Twin: A Collaborative and Competitive Memory Management Approach in HTAP Systems 2025 VLDB 5.2209769e-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
135 An Evaluation of Buffer Management Strategies for Relational Database Systems 1985 VLDB 0.00030209257
914 A Modeling Study of the TPC-C Benchmark 1993 SIGMOD 0.00013246456
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