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High Contention in a Stock Trading Database: A Case Study

Summary: Case study of a high-volume stock trading OLTP system reveals hot-spot contention and OLTP weaknesses. Proposes extended data types and novel mechanisms to boost programming expressiveness and parallelism for hot spots, demonstrated in stock trading. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
2464
Venue
SIGMOD
Year
1988
Pagerank
6.4039715e-05
Overall Rank
5,004 | 65.67%
DOI
10.1145/50202.50234

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{peinl_sigmod88,
        title = {{High Contention in a Stock Trading Database: A Case Study}},
        author = {Peinl, Peter and Reuter, Andreas and Sammer, Harald},
        series = {{SIGMOD} '88},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/50202.50234},
        url = {https://dl.acm.org/doi/10.1145/50202.50234},
        year = {1988}
}

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

Rank Cited Paper Year Venue Pagerank
4,580 Concurrency on High-Traffic Data Elements 1982 PODS 6.6202221e-05
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