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LakeHelm: Zero-Shot Lakehouse Advisor for Joint Engine-Format Selection and Configuration
Summary: LakeHelm performs zero-shot joint selection of lakehouse engines, table formats, and configurations, modeling cross-subsystem interactions with a dual-gate mixture-of-experts. Synthetic workloads improve generalization, enabling seconds-level recommendations for unseen workloads without online tuning, with 1.35× average speedup.
(summarized by gpt-5.6-luna on Jul 09 2026)
- Paper ID
- 14317
- Venue
- VLDB
- Year
- 2026
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,278 | 28.57%
- DOI
-
10.14778/3811243.3811250
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Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
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.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 71 |
How Good Are Query Optimizers, Really? |
2016 |
VLDB |
0.00059446482 |
| 183 |
Automatic Database Management System Tuning Through Large-scale Machine Learning |
2017 |
SIGMOD |
0.00036859633 |
| 366 |
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation |
2024 |
VLDB |
0.00025580097 |
| 510 |
An End-to-End Automatic Cloud Database Tuning System Using Deep Reinforcement Learning |
2019 |
SIGMOD |
0.00021420477 |
| 1,048 |
Starfish: A Self-tuning System for Big Data Analytics |
2011 |
CIDR |
0.00014442178 |
| 1,356 |
Lakehouse: A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics |
2021 |
CIDR |
0.00012409986 |
| 3,655 |
Facilitating Database Tuning with Hyper-Parameter Optimization: A Comprehensive Experimental Evaluation |
2022 |
VLDB |
6.8723042e-05 |
| 4,180 |
LlamaTune: Sample-Efficient DBMS Configuration Tuning |
2022 |
VLDB |
6.3725334e-05 |
| 4,730 |
UDO: Universal Database Optimization using Reinforcement Learning |
2021 |
VLDB |
5.9604983e-05 |
| 5,105 |
Analyzing and Comparing Lakehouse Storage Systems |
2023 |
CIDR |
5.6916018e-05 |
| 5,318 |
LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL Applications |
2022 |
SIGMOD |
5.5685434e-05 |
| 5,834 |
An Efficient Transfer Learning Based Configuration Adviser for Database Tuning |
2024 |
VLDB |
5.3082111e-05 |
| 6,683 |
Adaptive and Robust Query Execution for Lakehouses at Scale |
2024 |
VLDB |
4.9593505e-05 |
| 7,676 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
4.6770108e-05 |
| 8,454 |
Towards Resource Efficiency: Practical Insights into Large-Scale Spark Workloads at ByteDance |
2024 |
VLDB |
4.5022073e-05 |
| 8,596 |
LST-Bench: Benchmarking Log-Structured Tables in the Cloud |
2024 |
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4.4839589e-05 |
| 9,643 |
Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment |
2025 |
SIGMOD |
4.3067693e-05 |
| 9,645 |
PBench: Workload Synthesizer with Real Statistics for Cloud Analytics Benchmarking |
2025 |
VLDB |
4.3067693e-05 |
| 9,955 |
SCompression: Enhancing Database Knob Tuning Efficiency Through Slice-Based OLTP Workload Compression |
2025 |
VLDB |
4.2332427e-05 |
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