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Scalable Continuous Query Processing by Tracking Hotspots

Summary: Scalable framework groups continuous queries by overlapping predicates and maintains a dynamic hotspot-based partition with near-log amortized updates. Hotspot-focused processing of heavy select-join and band-join workloads yields orders-of-magnitude throughput gains and enables linear-time interval histograms. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9447
Venue
VLDB
Year
2006
Pagerank
4.1945683e-05
Overall Rank
12,519 | 12.91%
DOI
-

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Rank Citing Paper Year Venue Pagerank
5,824 End-to-End Support for Joins in Large-Scale Publish/Subscribe Systems 2008 VLDB 5.3128962e-05
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