Serverless Query Processing on a Budget
Summary: Serverless query processing on a budget; dynamic cluster provisioning to trade time for cost. Show serverful is ~50% slower at similar cost; proposes a provider-side model to tune clusters for desired time–cost tradeoffs. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. William Ma (University of California Berkeley)
BibTeX Citation
@inproceedings{ma_sigmod20,
title = {{Serverless Query Processing on a Budget}},
author = {Ma, William},
series = {{SIGMOD} '20},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3318464.3384410},
url = {https://dl.acm.org/doi/10.1145/3318464.3384410},
year = {2020}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,007 | Serverless Computing: One Step Forward, Two Steps Back | 2019 | CIDR | 0.00012691341 |
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