Continuous Sampling for Online Aggregation Over Multiple Queries
Summary: COSMOS is an online aggregation system; a single scrambled data scan yields samples for all queries. Graph-based approach reuses ancestor aggregates for descendants; statistical fusion and partitioning salvage ranges; PostgreSQL implementation evaluated on TPC-H. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sai Wu
- 2. Beng Chin Ooi
- 3. Kian-Lee Tan
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,029 | Spatial Online Sampling and Aggregation | 2016 | VLDB | 6.51315e-05 |
| 8,605 | Structure-Aware Sampling: Flexible and Accurate Summarization | 2011 | VLDB | 4.4865144e-05 |
| 8,689 | Wander Join: Online Aggregation for Joins | 2016 | SIGMOD | 4.4667389e-05 |
| 943 | Wander Join: Online Aggregation via Random Walks | 2016 | SIGMOD | 0.00015145883 |
| 8,959 | Reservoir Sampling over Joins | 2024 | SIGMOD | 4.4206222e-05 |
| 2,580 | Sample + Seek: Approximating Aggregates with Distribution Precision Guarantee | 2016 | SIGMOD | 8.5058814e-05 |
| 8,682 | Efficient Scheduling of Heterogeneous Continuous Queries | 2006 | VLDB | 4.4687791e-05 |
| 6,740 | Combining Aggregation and Sampling (Nearly) Optimally for Approximate Query Processing | 2021 | SIGMOD | 4.944395e-05 |
| 14 | Online Aggregation | 1997 | SIGMOD | 0.0010801504 |
| 1,064 | Processing Complex Aggregate Queries over Data Streams | 2002 | SIGMOD | 0.00014356481 |