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)
Incoming Non-self Citations Over Time
Authors
- 1. Navendu Jain
- 2. Dmitry Kit
- 3. Prince Mahajan
- 4. Praveen Yalagandula
- 5. Mike Dahlin
- 6. Yin Zhang
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| 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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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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