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
- 2. Jun Hyuk Chang
- 3. Riki Otaki
- 4. Zhe Heng Eng
- 5. Aaron J. Elmore
- 6. Michael J. Franklin
- 7. Sanjay Krishnan
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,798 | Resource-Adaptive Query Execution with Paged Memory Management | 2025 | CIDR | 4.4489415e-05 |
| 9,763 | The UDFBench Benchmark for General-purpose UDF Queries | 2025 | VLDB | 4.2856106e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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