UDAO: A Next-Generation Unified Data Analytics Optimizer
Summary: UDAO automatically tunes runtime configurations for general dataflow jobs against user performance and budget objectives. In-situ objective modeling and multi-objective Pareto optimization expose tradeoffs and recommend configurations without manual engineering. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Khaled Zaouk (Ecole Polytechnique)
- 2. Fei Song (Ecole Polytechnique)
- 3. Chenghao Lyu (University of Massachusetts Amherst)
- 4. Arnab Sinha (Ecole Polytechnique)
- 5. Yanlei Diao (Ecole Polytechnique; University of Massachusetts Amherst)
- 6. Prashant Shenoy (University of Massachusetts Amherst)
BibTeX Citation
@article{zaouk_vldb19,
title = {{UDAO: A Next-Generation Unified Data Analytics Optimizer}},
author = {Zaouk, Khaled and Song, Fei and Lyu, Chenghao and Sinha, Arnab and Diao, Yanlei and Shenoy, Prashant},
journal = {PVLDB},
series = {{VLDB} '19},
volume = {12},
number = {12},
pages = {1934--1937},
doi = {10.14778/3352063.3352103},
url = {https://doi.org/10.14778/3352063.3352103},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,388 | Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing | 2022 | VLDB | 6.2362811e-05 |
| 8,615 | A Spark Optimizer for Adaptive, Fine-Grained Parameter Tuning | 2024 | VLDB | 5.4005602e-05 |
| 10,547 | Scarf: Self-Adaptive Tuning via Multi-Objective Reinforcement Learning for Apache Flink | 2026 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 86 | Automatic Database Management System Tuning Through Large-scale Machine Learning | 2017 | SIGMOD | 0.00035316107 |
| 735 | Profiling, What-if Analysis, and Cost-based Optimization of MapReduce Programs | 2011 | VLDB | 0.00014522606 |
| 4,880 | An Incremental Anytime Algorithm for Multi-Objective Query Optimization | 2015 | SIGMOD | 6.4656221e-05 |
| 9,640 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB | 5.2434488e-05 |
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