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Boosting Topic-Based Publish-Subscribe Systems with Dynamic Clustering

Summary: Dynamic clustering groups topics into topic-clusters to unify multicast structures and cut maintenance and transmission costs in topic-based pub-sub. Adapts online via subscription correlations; implemented in Tamara with order-of-magnitude gains. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3959
Venue
SIGMOD
Year
2007
Pagerank
6.4300576e-05
Overall Rank
4,954 | 66.02%
DOI
10.1145/1247480.1247563

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{milo_sigmod07,
        title = {{Boosting Topic-Based Publish-Subscribe Systems with Dynamic Clustering}},
        author = {Milo, Tova and Zur, Tal and Verbin, Elad},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247563},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247563},
        year = {2007}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

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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
875 Towards an Internet-Scale XML Dissemination Service 2004 VLDB 0.00013478623
4,057 On the Database/Network Interface in Large-Scale Publish/Subscribe Systems 2006 SIGMOD 6.9338609e-05
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