Scaling a Declarative Cluster Manager Architecture with Query Optimization Techniques
Summary: C-SQL: a formal SQL-like language to express cluster placement as constraint optimization. Using query-optimizer techniques (incremental view maintenance, predicate pushdown) scales DCM to 10^4 nodes, yielding ~3000× DB latency speedup and up to 300× reduction in problem size (Kubernetes scheduler case study). (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Kexin Rong (Georgia Institute of Technology; VMware)
- 2. Mihai Budiu (Feldera)
- 3. Athinagoras Skiadopoulos (Stanford University)
- 4. Lalith Suresh (Feldera)
- 5. Amy Tai (Google)
BibTeX Citation
@article{rong_vldb23,
title = {{Scaling a Declarative Cluster Manager Architecture with Query Optimization Techniques}},
author = {Rong, Kexin and Budiu, Mihai and Skiadopoulos, Athinagoras and Suresh, Lalith and Tai, Amy},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {10},
pages = {2618--2631},
doi = {10.14778/3603581.3603599},
url = {https://doi.org/10.14778/3603581.3603599},
year = {2023}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,898 | Solver-In-The-Loop Cluster Resource Management for Database-as-a-Service | 2023 | VLDB | 6.3489037e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 19 of 19 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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