Database Paper Browser

Back to papers

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
3897
Venue
SIGMOD
Year
2007
Pagerank
7.2633795e-05
Overall Rank
3,292 | 77.10%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Previous Page 1 / 1 Next

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
622 Towards an Internet-Scale XML Dissemination Service 2004 VLDB 0.00019000333
3,412 On the Database/Network Interface in Large-Scale Publish/Subscribe Systems 2006 SIGMOD 7.1244283e-05
Previous Page 1 / 1 Next

Semantically Similar Papers