Rethinking Stateful Stream Processing with RDMA
Summary: Slash is a stateful stream processor using RDMA to accelerate distributed streaming, rethinking RDMA-aware design. It scales by sharing mutable state across nodes, avoiding re-partitioning, with up to 100× throughput on InfiniBand and 22× faster than RDMA-scale-out. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Bonaventura Del Monte (Technical University of Berlin)
- 2. Steffen Zeuch (German National Research Center for Information Technology; Technical University of Berlin)
- 3. Tilmann Rabl (Hasso Plattner Institute)
- 4. Volker Markl (German National Research Center for Information Technology; Technical University of Berlin)
BibTeX Citation
@inproceedings{monte_sigmod22,
title = {{Rethinking Stateful Stream Processing with RDMA}},
author = {Del Monte, Bonaventura and Zeuch, Steffen and Rabl, Tilmann and Markl, Volker},
series = {{SIGMOD} '22},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3514221.3517826},
url = {https://dl.acm.org/doi/10.1145/3514221.3517826},
year = {2022}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,648 | AMNES: Accelerating the computation of data correlation using FPGAs | 2023 | VLDB | 5.2430158e-05 |
| 10,337 | Accelerating Stream Processing Engines via Hardware Offloading | 2026 | SIGMOD | 5.093636e-05 |
| 10,368 | Enjima: A Resource-Adaptive Stream Processing System | 2026 | SIGMOD | 5.093636e-05 |
| 10,432 | Beluga: A CXL-Based Memory Architecture for Scalable and Efficient LLM KVCache Management | 2026 | SIGMOD | 5.093636e-05 |
| 10,873 | Unraveling the Impact of Window Semantics: Optimizing Join Order for Efficient Stream Processing | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 25 of 25 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 |
|---|---|---|---|---|
| 1 | 10,337 | Accelerating Stream Processing Engines via Hardware Offloading | 2026 | SIGMOD |
| 2 | 3,243 | Rethinking Database High Availability with RDMA Networks | 2019 | VLDB |
| 3 | 3,761 | ScaleStore: A Fast and Cost-Efficient Storage Engine using DRAM, NVMe, and RDMA | 2022 | SIGMOD |
| 4 | 3,851 | Analyzing Efficient Stream Processing on Modern Hardware | 2019 | VLDB |
| 5 | 5,109 | The Case for Distributed Shared-Memory Databases with RDMA-Enabled Memory Disaggregation | 2023 | VLDB |
| 6 | 1,076 | High-Speed Query Processing over High-Speed Networks | 2016 | VLDB |
| 7 | 13,449 | Scalable Distributed Transaction Processing on Modern RDMA-enabled Networks | 2021 | SIGMOD |
| 8 | 2,393 | Design, Implementation, and Evaluation of the Linear Road Benchmark on the Stream Processing Core | 2006 | SIGMOD |
| 9 | 892 | Rack-Scale In-Memory Join Processing using RDMA | 2015 | SIGMOD |
| 10 | 976 | The End of Slow Networks: It's Time for a Redesign | 2016 | VLDB |