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
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Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,840 | Learned Cost Models for Query Optimization: From Batch to Streaming Systems | 2025 | VLDB | 4.1945683e-05 |
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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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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,619 | Near-Optimal Distributed Band-Joins through Recursive Partitioning | 2020 | SIGMOD | 4.9910152e-05 |
| 7,715 | Query Centric Partitioning and Allocation for Partially Replicated Database Systems | 2017 | SIGMOD | 4.6699261e-05 |
| 9,313 | Providing Resiliency to Load Variations in Distributed Stream Processing | 2006 | VLDB | 4.3565355e-05 |
| 3,821 | Locality-aware Partitioning in Parallel Database Systems | 2015 | SIGMOD | 6.7281515e-05 |
| 8,596 | Prompt: Dynamic Data-Partitioning for Distributed Micro-batch Stream Processing Systems | 2020 | SIGMOD | 4.4887993e-05 |
| 2,494 | Streaming Graph Partitioning: An Experimental Study | 2018 | VLDB | 8.6508229e-05 |
| 3,076 | Learning a Partitioning Advisor for Cloud Databases | 2020 | SIGMOD | 7.6107677e-05 |
| 6,629 | A Holistic View of Stream Partitioning Costs | 2017 | VLDB | 4.9880986e-05 |
| 7,372 | Model-Free Control for Distributed Stream Data Processing using Deep Reinforcement Learning | 2018 | VLDB | 4.7496881e-05 |
| 3,382 | Scalable and Adaptive Online Joins | 2014 | VLDB | 7.1597145e-05 |