MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud
Summary: MLOS enables one‑click cloud benchmarking and multi‑VM experimentation with integrated metrics collection and lightweight data storage/visualization for notebook-driven workflows. Provides pluggable ML/heuristic optimizers to auto‑tune VM/OS/kernel/userland parameters, bridging practical experimentation and automated configuration search. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Brian Kroth (Microsoft)
- 2. Sergiy Matusevych (Microsoft)
- 3. Rana Alotaibi (Microsoft)
- 4. Yiwen Zhu (Microsoft)
- 5. Anja Gruenheid (Microsoft)
- 6. Yuanyuan Tian (Microsoft)
BibTeX Citation
@article{kroth_vldb24,
title = {{MLOS in Action: Bridging the Gap Between Experimentation and Auto-Tuning in the Cloud}},
author = {Kroth, Brian and Matusevych, Sergiy and Alotaibi, Rana and Zhu, Yiwen and Gruenheid, Anja and Tian, Yuanyuan},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4269--4272},
doi = {10.14778/3685800.3685852},
url = {https://doi.org/10.14778/3685800.3685852},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 8,448 | Towards Query Optimizer as a Service (QOaaS) in a Unified LakeHouse Ecosystem: Can One QO Rule Them All? | 2025 | CIDR | 5.4235725e-05 |
| 9,378 | AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes | 2025 | SIGMOD | 5.2755515e-05 |
| 9,771 | Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment | 2025 | SIGMOD | 5.2209769e-05 |
| 10,513 | LIO: A lightweight and interpretable query optimizer based on an evolutionary forest | 2026 | VLDB | 5.093636e-05 |
| 11,073 | AXE: A Task Decomposition Approach to Learned LSM Tuning | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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