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 (National University of Singapore)
- 2. Beng Chin Ooi (National University of Singapore)
- 3. Kian-Lee Tan (National University of Singapore)
BibTeX Citation
@inproceedings{wu_sigmod10,
title = {{Continuous Sampling for Online Aggregation Over Multiple Queries}},
author = {Wu, Sai and Ooi, Beng Chin and Tan, Kian-Lee},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807238},
url = {https://dl.acm.org/doi/10.1145/1807167.1807238},
year = {2010}
}
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