Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning
Summary: Introduces the first model-free deep-RL controller for distributed stream scheduling, learning workload placement from sparse runtime statistics without queueing models. Implemented in Storm, it jointly optimizes placement and communication effects, cutting tuple latency 33.5% over default scheduling. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Teng Li (Syracuse University)
- 2. Zhiyuan Xu (Syracuse University)
- 3. Jian Tang (Syracuse University)
- 4. Yanzhi Wang (Syracuse University)
BibTeX Citation
@article{li_vldb18,
title = {{Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning}},
author = {Li, Teng and Xu, Zhiyuan and Tang, Jian and Wang, Yanzhi},
journal = {PVLDB},
series = {{VLDB} '18},
volume = {11},
number = {6},
pages = {705--718},
doi = {10.14778/3184470.3184474},
url = {https://doi.org/10.14778/3184470.3184474},
year = {2018}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,499 | Learning a Partitioning Advisor for Cloud Databases | 2020 | SIGMOD | 8.4993549e-05 |
| 4,468 | One Model to Rule them All: Towards Zero-Shot Learning for Databases | 2022 | CIDR | 6.6819041e-05 |
| 5,388 | Fine-Grained Modeling and Optimization for Intelligent Resource Management in Big Data Processing | 2022 | VLDB | 6.2362811e-05 |
| 11,065 | Learned Cost Models for Query Optimization: From Batch to Streaming Systems | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 224 | MillWheel: Fault-Tolerant Stream Processing at Internet Scale | 2013 | VLDB | 0.00024130894 |
| 2,357 | Muppet: MapReduce-Style Processing of Fast Data | 2012 | VLDB | 8.7013171e-05 |
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