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BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures

Summary: BriskStream is an in-memory DSPS for shared-memory multicore systems. It introduces RLAS, a NUMA-aware optimizer for producer-consumer pairs, solved by branch-and-bound with three heuristics, giving higher throughput and scalability than prior DSPSs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h30503a62fddb53c8
Venue
SIGMOD
Year
2019
Pagerank
6.1799622e-05
Overall Rank
5,325 | 64.20%
DOI
10.1145/3299869.3300067

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{zhang_sigmod19,
        title = {{BriskStream: Scaling Data Stream Processing on Shared-Memory Multicore Architectures}},
        author = {Zhang, Shuhao and He, Jiong and Zhou, Amelie Chi and He, Bingsheng},
        series = {{SIGMOD} '19},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3299869.3300067},
        url = {https://dl.acm.org/doi/10.1145/3299869.3300067},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank Citing Paper Year Venue Pagerank
2,468 GPU-Accelerated Subgraph Enumeration on Partitioned Graphs 2020 SIGMOD 8.4178183e-05
4,918 LightSaber: Efficient Window Aggregation on Multi-core Processors 2020 SIGMOD 6.3548575e-05
5,939 StreamOps: Cloud-Native Runtime Management for Streaming Services in ByteDance 2023 VLDB 5.9407099e-05
7,976 Rethinking Stateful Stream Processing with RDMA 2022 SIGMOD 5.4146123e-05
9,179 FEBench: A Benchmark for Real-Time Relational Data Feature Extraction 2023 VLDB 5.2121898e-05
9,530 MorphStream: Adaptive Scheduling for Scalable Transactional Stream Processing on Multicores 2023 SIGMOD 5.1653263e-05
9,810 Scabbard: Single-Node Fault-Tolerant Stream Processing 2022 VLDB 5.1257999e-05
9,950 HoneyComb: A Parallel Worst-Case Optimal Join on Multicores 2025 SIGMOD 5.1038322e-05
10,267 Darwin: Scale-In Stream Processing 2022 CIDR 5.0492285e-05
10,541 Accelerating Stream Processing Engines via Hardware Offloading 2026 SIGMOD 4.9793485e-05
10,566 Enjima: A Resource-Adaptive Stream Processing System 2026 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 17 of 17 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
27 Database Architecture Optimized for the New Bottleneck: Memory Access 1999 VLDB 0.0005158963
112 TelegraphCQ: Continuous Dataflow Processing for an Uncertain World 2003 CIDR 0.00032459277
127 The Design of the Borealis Stream Processing Engine 2005 CIDR 0.00030427614
215 Morsel-Driven Parallelism: A NUMA-Aware Query Evaluation Framework for the Many-Core Age 2014 SIGMOD 0.00024598661
606 Twitter Heron: Stream Processing at Scale 2015 SIGMOD 0.00015635133
939 Buffering Database Operations for Enhanced Instruction Cache Performance 2004 SIGMOD 0.00012970078
968 Integrating Scale Out and Fault Tolerance in Stream Processing using Operator State Management 2013 SIGMOD 0.00012782051
1,030 Rate-Based Query Optimization for Streaming Information Sources 2002 SIGMOD 0.00012407749
1,206 NUMA-aware algorithms: the case of data shuffling 2013 CIDR 0.00011541214
1,972 OLTP on Hardware Islands 2012 VLDB 9.2858692e-05
2,444 Design, Implementation, and Evaluation of the Linear Road Benchmark on the Stream Processing Core 2006 SIGMOD 8.4583264e-05
3,106 SABER: Window-Based Hybrid Stream Processing for Heterogeneous Architectures 2016 SIGMOD 7.6428848e-05
3,459 Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach 2015 VLDB 7.2848113e-05
4,011 Deployment of Query Plans on Multicores 2015 VLDB 6.8573269e-05
4,055 Scaling Up Concurrent Main-Memory Column-Store Scans: Towards Adaptive NUMA-aware Data and Task Placement 2015 VLDB 6.8270333e-05
4,702 Adaptive NUMA-aware data placement and task scheduling for analytical workloads in main-memory column-stores 2017 VLDB 6.4630351e-05
6,062 Speeding up Database Applications with Pyxis 2013 SIGMOD 5.8986446e-05
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