Towards Resource-adaptive Query Execution in Cloud Native Databases
Summary: Proposes primitives—query preemption, resource arbitration, and cost tolerance—to adapt cloud‑native DBs to ephemeral, price‑volatile, and preemptible cloud resources. Ratchet implements adaptive multi‑granularity suspend/resume, heterogeneous workload arbitration, and fine‑grained pricing‑aware execution. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rui Liu (University of Chicago)
- 2. Jun Hyuk Chang (University of Chicago)
- 3. Riki Otaki (University of Chicago)
- 4. Zhe Heng Eng (University of Chicago)
- 5. Aaron J. Elmore (University of Chicago)
- 6. Michael J. Franklin (University of Chicago)
- 7. Sanjay Krishnan (University of Chicago)
BibTeX Citation
@inproceedings{liu_cidr24,
address = {Amsterdam, Netherlands},
series = {{CIDR} '24},
title = {{Towards Resource-adaptive Query Execution in Cloud Native Databases}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Liu, Rui and Chang, Jun Hyuk and Otaki, Riki and Eng, Zhe Heng and Elmore, Aaron J. and Franklin, Michael J. and Krishnan, Sanjay},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,014 | Resource-Adaptive Query Execution with Paged Memory Management | 2025 | CIDR | 5.2235585e-05 |
| 9,729 | The UDFBench Benchmark for General-purpose UDF Queries | 2025 | VLDB | 5.1202393e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 23 of 23 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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