Back to papers
Accelerating Stream Processing Engines via Hardware Offloading
Summary: FlexStream offloads re-partitioning to hardware and adopts a coupled network-executor model to saturate NIC bandwidth and rethink SPE parallelization. With a lock-free state backend and fast migration it achieves 1.95–3.35× throughput and much lower latency spikes and migration time versus prior SPEs.
(summarized by gpt-5-mini on Feb 11 2026)
- Paper ID
- 7351
- Venue
- SIGMOD
- Year
- 2026
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,043 | 30.21%
- DOI
-
10.1145/3769754
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 15 of 15 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 287 |
Storm @Twitter |
2014 |
SIGMOD |
0.00028917909 |
| 417 |
Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age |
2014 |
SIGMOD |
0.00023734582 |
| 822 |
Twitter Heron: Stream Processing at Scale |
2015 |
SIGMOD |
0.00016226851 |
| 1,081 |
Dhalion: Self-Regulating Stream Processing in Heron |
2017 |
VLDB |
0.00014201838 |
| 1,226 |
Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management |
2013 |
SIGMOD |
0.00013168869 |
| 4,051 |
Megaphone: Latency-conscious state migration for distributed streaming dataflows |
2019 |
VLDB |
6.4932782e-05 |
| 4,490 |
Analyzing Efficient Stream Processing on Modern Hardware |
2019 |
VLDB |
6.137834e-05 |
| 4,797 |
Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines |
2020 |
SIGMOD |
5.9101178e-05 |
| 5,357 |
LightSaber: Efficient Window Aggregation on Multi-core Processors |
2020 |
SIGMOD |
5.5512343e-05 |
| 5,670 |
BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures |
2019 |
SIGMOD |
5.3799054e-05 |
| 6,649 |
Grizzly: Efficient Stream Processing Through Adaptive Query Compilation |
2020 |
SIGMOD |
4.9724735e-05 |
| 6,769 |
Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow |
2021 |
VLDB |
4.9274854e-05 |
| 8,004 |
Rethinking Stateful Stream Processing with RDMA |
2022 |
SIGMOD |
4.6048388e-05 |
| 9,220 |
Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing |
2019 |
SIGMOD |
4.3670162e-05 |
| 9,497 |
Scabbard: Single-Node Fault-Tolerant Stream Processing |
2022 |
VLDB |
4.3300131e-05 |
Semantically Similar Papers
| Overall Rank |
Paper |
Year |
Venue |
Pagerank |
| 10,970 |
Low-Latency Adaptive Distributed Stream Join System Based on a Flexible Join Model |
2024 |
SIGMOD |
4.1905499e-05 |
| 5,357 |
LightSaber: Efficient Window Aggregation on Multi-core Processors |
2020 |
SIGMOD |
5.5512343e-05 |
| 7,735 |
From a Stream of Relational Queries to Distributed Stream Processing |
2010 |
VLDB |
4.6599101e-05 |
| 9,318 |
Providing Resiliency to Load Variations in Distributed Stream Processing |
2006 |
VLDB |
4.3523601e-05 |
| 7,932 |
Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing |
2025 |
SIGMOD |
4.6089395e-05 |
| 8,004 |
Rethinking Stateful Stream Processing with RDMA |
2022 |
SIGMOD |
4.6048388e-05 |
| 2,710 |
Design, Implementation, and Evaluation of the Linear Road Benchmark on the Stream Processing Core |
2006 |
SIGMOD |
8.2580301e-05 |
| 9,220 |
Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing |
2019 |
SIGMOD |
4.3670162e-05 |
| 6,628 |
A Holistic View of Stream Partitioning Costs |
2017 |
VLDB |
4.9833118e-05 |
| 4,490 |
Analyzing Efficient Stream Processing on Modern Hardware |
2019 |
VLDB |
6.137834e-05 |