Dalton: Learned Partitioning for Distributed Data Streams
Summary: Dalton: an RL-based, lightweight partitioner for distributed streams that memoizes recent state to minimize per-tuple overhead and rapidly adapt to unknown, changing hot-key skews. Scales via cooperative learning across instances (no centralized bottleneck), achieving 1.3–6.7× higher throughput. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,844 | Learned Cost Models for Query Optimization: From Batch to Streaming Systems | 2025 | VLDB | 4.1905499e-05 |
Previous
Page 1 / 1
Next
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.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,618 | Near-Optimal Distributed Band-Joins through Recursive Partitioning | 2020 | SIGMOD | 4.9864636e-05 |
| 7,713 | Query Centric Partitioning and Allocation for Partially Replicated Database Systems | 2017 | SIGMOD | 4.6662571e-05 |
| 9,318 | Providing Resiliency to Load Variations in Distributed Stream Processing | 2006 | VLDB | 4.3523601e-05 |
| 3,825 | Locality-aware Partitioning in Parallel Database Systems | 2015 | SIGMOD | 6.7225803e-05 |
| 8,594 | Prompt: Dynamic Data-Partitioning for Distributed Micro-batch Stream Processing Systems | 2020 | SIGMOD | 4.4844961e-05 |
| 2,497 | Streaming Graph Partitioning: An Experimental Study | 2018 | VLDB | 8.6427191e-05 |
| 3,066 | Learning a Partitioning Advisor for Cloud Databases | 2020 | SIGMOD | 7.6255556e-05 |
| 6,628 | A Holistic View of Stream Partitioning Costs | 2017 | VLDB | 4.9833118e-05 |
| 7,366 | Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning | 2018 | VLDB | 4.7459576e-05 |
| 3,384 | Scalable and Adaptive Online Joins | 2014 | VLDB | 7.153329e-05 |