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Implementing A Scalable XML Publish/Subscribe System Using Relational Database Systems

Summary: Uses a relational database as the XML publish/subscribe matching engine, performing heavy XPath subscription evaluation inside the DB with indices and joins. Evaluates several implementation strategies and demonstrates scalability to millions of subscriptions with modest memory. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3604
Venue
SIGMOD
Year
2004
Pagerank
7.302431e-05
Overall Rank
3,567 | 75.53%
DOI
10.1145/1007568.1007623

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{tian_sigmod04,
        title = {{Implementing A Scalable XML Publish/Subscribe System Using Relational Database Systems}},
        author = {Tian, Feng and Reinwald, Berthold and Pirahesh, Hamid and Mayr, Tobias and Myllymaki, Jussi},
        series = {{SIGMOD} '04},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1007568.1007623},
        url = {https://dl.acm.org/doi/10.1145/1007568.1007623},
        year = {2004}
}

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