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STAR: Self-Tuning Aggregation for Scalable Monitoring

Summary: STAR: self-tuning precision for continuous aggregates in distributed streams; workload-aware optimization minimizes inter-node communication under a fixed error budget. Hierarchical error distribution guided by update rate and variance with cost-benefit throttling; prototype demonstrates reduced network load while preserving accuracy. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9645
Venue
VLDB
Year
2007
Pagerank
4.456315e-05
Overall Rank
8,770 | 38.99%
DOI
-

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Rank Citing Paper Year Venue Pagerank
12,220 Processing Continuous Join Queries in Sensor Networks: a Filtering Approach 2010 SIGMOD 4.1945683e-05
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