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Massively Multi-Query Join Processing in Publish/Subscribe Systems

Summary: Massively Multi-Query Join Processing in pub/sub enables input-sharing and joint computation across thousands of concurrent queries. Experiments on RSS feeds show >100× speedups vs naive evaluation, scalable to hundreds of thousands of queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3960
Venue
SIGMOD
Year
2007
Pagerank
6.7148702e-05
Overall Rank
4,417 | 69.70%
DOI
10.1145/1247480.1247564

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{hong_sigmod07,
        title = {{Massively Multi-Query Join Processing in Publish/Subscribe Systems}},
        author = {Hong, Mingsheng and Demers, Alan and Gehrke, Johannes and Koch, Christoph and Riedewald, Mirek and White, Walker},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247564},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247564},
        year = {2007}
}

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