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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
7540
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,337 | 29.08%
DOI
10.1145/3769754

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@inproceedings{guo_sigmod26,
        title = {{Accelerating Stream Processing Engines via Hardware Offloading}},
        author = {Guo, Zhengyan and Zhang, Mingxing and Shan, Yingdi and Chen, Kang and Jiang, Jinlei and Wu, Yongwei},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3769754},
        url = {https://dl.acm.org/doi/10.1145/3769754},
        year = {2026}
}

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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
220 Storm @Twitter 2014 SIGMOD 0.00024244587
241 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00023654664
612 Twitter Heron: Stream Processing at Scale 2015 SIGMOD 0.0001573018
983 Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management 2013 SIGMOD 0.0001283214
1,224 Dhalion: Self-Regulating Stream Processing in Heron 2017 VLDB 0.00011596911
3,531 Megaphone: Latency-conscious state migration for distributed streaming dataflows 2019 VLDB 7.337549e-05
3,851 Analyzing Efficient Stream Processing on Modern Hardware 2019 VLDB 7.0735328e-05
4,279 Rhino: Efficient Management of Very Large Distributed State for Stream Processing Engines 2020 SIGMOD 6.7865878e-05
4,820 LightSaber: Efficient Window Aggregation on Multi-core Processors 2020 SIGMOD 6.493623e-05
5,206 BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures 2019 SIGMOD 6.3180444e-05
6,349 Grizzly: Efficient Stream Processing Through Adaptive Query Compilation 2020 SIGMOD 5.9049304e-05
6,502 Watermarks in Stream Processing Systems: Semantics and Comparative Analysis of Apache Flink and Google Cloud Dataflow 2021 VLDB 5.8604458e-05
7,814 Rethinking Stateful Stream Processing with RDMA 2022 SIGMOD 5.5389009e-05
9,336 Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing 2019 SIGMOD 5.2878276e-05
9,633 Scabbard: Single-Node Fault-Tolerant Stream Processing 2022 VLDB 5.2434488e-05
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