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Scalable Ranked Publish/Subscribe

Summary: Introduces ranked publish/subscribe: top-scoring subscriptions stabbed by streaming point events over multidimensional interval predicates. Novel compact indexes avoid the space/performance costs of adapting conventional structures, enabling scalable top-k matching. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
9878
Venue
VLDB
Year
2008
Pagerank
6.1889819e-05
Overall Rank
5,517 | 62.15%
DOI
10.14778/1454159.1454167

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{machanavajjhala_vldb08,
        title = {{Scalable Ranked Publish/Subscribe}},
        author = {Machanavajjhala, Ashwin and Vee, Erik and Garofalakis, Minos and Shanmugasundaram, Jayavel},
        journal = {PVLDB},
        series = {{VLDB} '08},
        volume = {1},
        number = {1},
        pages = {451--462},
        doi = {10.14778/1454159.1454167},
        url = {https://doi.org/10.14778/1454159.1454167},
        year = {2008}
}

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