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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)
- Paper ID
- 6281
- Venue
- SIGMOD
- Year
- 2022
- Pagerank
- 4.6092573e-05
- Overall Rank
- 8,001 | 44.34%
- DOI
-
10.1145/3514221.3517826
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 23 |
A Critique of ANSI SQL Isolation Levels |
1995 |
SIGMOD |
0.00083894938 |
| 288 |
Storm @Twitter |
2014 |
SIGMOD |
0.00028939871 |
| 314 |
MillWheel: Fault-Tolerant Stream Processing at Internet Scale |
2013 |
VLDB |
0.00028084774 |
| 418 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
0.00023729211 |
| 538 |
The Dataflow Model: A Practical Approach to Balancing Correctness, Latency, and Cost in Massive-Scale, Unbounded, Out-of-Order Data Processing |
2015 |
VLDB |
0.00020678804 |
| 899 |
Faster: A Concurrent Key-Value Store with In-Place Updates |
2018 |
SIGMOD |
0.00015509287 |
| 1,206 |
Rack-Scale In-Memory Join Processing using RDMA |
2015 |
SIGMOD |
0.00013281657 |
| 1,226 |
Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management |
2013 |
SIGMOD |
0.00013180799 |
| 1,361 |
The End of Slow Networks: It's Time for a Redesign |
2016 |
VLDB |
0.00012379741 |
| 1,409 |
High-Speed Query Processing over High-Speed Networks |
2016 |
VLDB |
0.00012132768 |
| 1,696 |
A Seven-Dimensional Analysis of Hashing Methods and its Implications on Query Processing |
2016 |
VLDB |
0.00010881034 |
| 1,780 |
LLAMA: A Cache/Storage Subsystem for Modern Hardware |
2013 |
VLDB |
0.00010580669 |
| 1,819 |
The End of a Myth: Distributed Transactions Can Scale |
2017 |
VLDB |
0.00010429773 |
| 1,852 |
Designing Distributed Tree-based Index Structures for Fast RDMA-capable Networks |
2019 |
SIGMOD |
0.00010322492 |
| 3,762 |
SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures |
2016 |
SIGMOD |
6.7804471e-05 |
| 4,184 |
CoroBase: Coroutine-Oriented Main-Memory Database Engine |
2021 |
VLDB |
6.3779731e-05 |
| 4,483 |
DFI: The Data Flow Interface for High-Speed Networks |
2021 |
SIGMOD |
6.148188e-05 |
| 4,488 |
Analyzing Efficient Stream Processing on Modern Hardware |
2019 |
VLDB |
6.145117e-05 |
| 4,795 |
Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines |
2020 |
SIGMOD |
5.9158043e-05 |
| 5,193 |
LightSaber: Efficient Window Aggregation on Multi-core Processors |
2020 |
SIGMOD |
5.6371049e-05 |
| 5,657 |
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures |
2019 |
SIGMOD |
5.3864606e-05 |
| 6,436 |
Providing Streaming Joins as a Service at Facebook |
2018 |
VLDB |
5.0636254e-05 |
| 6,587 |
Two Epoch Algorithms for Disaster Recovery |
1990 |
VLDB |
5.002105e-05 |
| 6,648 |
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation |
2020 |
SIGMOD |
4.9771723e-05 |
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5.4778129e-05 |
| 1,409 |
High-Speed Query Processing over High-Speed Networks |
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VLDB |
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| 13,246 |
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Rack-Scale In-Memory Join Processing using RDMA |
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SIGMOD |
0.00013281657 |
| 1,361 |
The End of Slow Networks: It's Time for a Redesign |
2016 |
VLDB |
0.00012379741 |