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To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams

Summary: Hamlet enables adaptive runtime sharing for Kleene-pattern trend queries on streams. It makes run-time share/no-share decisions and uses a fast shared trend-aggregation that avoids trend construction, achieving up to 1e5x latency reduction vs prior art. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h323b1527737e365b
Venue
SIGMOD
Year
2021
Pagerank
6.2214303e-05
Overall Rank
5,222 | 64.90%
DOI
10.1145/3448016.3452785

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{poppe_sigmod21,
        title = {{To Share, or not to Share Online Event Trend Aggregation Over Bursty Event Streams}},
        author = {Poppe, Olga and Lei, Chuan and Ma, Lei and Rozet, Allison and Rundensteiner, Elke A.},
        series = {{SIGMOD} '21},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3448016.3452785},
        url = {https://dl.acm.org/doi/10.1145/3448016.3452785},
        year = {2021}
}

Incoming Citations (Sorted by Pagerank)

Showing 7 of 7 citing papers.

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Outgoing Citations (Sorted by Pagerank)

Showing 26 of 26 cited papers.

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

Rank Cited Paper Year Venue Pagerank
25 NiagaraCQ: A Scalable Continuous Query System for Internet Databases 2000 SIGMOD 0.00053930011
112 TelegraphCQ: Continuous Dataflow Processing for an Uncertain World 2003 CIDR 0.00032459277
200 Continuously Adaptive Continuous Queries over Streams 2002 SIGMOD 0.000254553
241 High-Performance Complex Event Processing over Streams 2006 SIGMOD 0.00023419748
429 Flexible Time Management in Data Stream Systems 2004 PODS 0.00018439857
580 Efficient Pattern Matching over Event Streams 2008 SIGMOD 0.00016085679
755 Cayuga: A General Purpose Event Monitoring System 2007 CIDR 0.00014232741
1,029 ZStream: A Cost-based Query Processor for Adaptively Detecting Composite Events 2009 SIGMOD 0.00012416974
1,197 Out-of-Order Processing: A New Architecture for High-Performance Stream Systems 2008 VLDB 0.00011566535
1,286 Resource Sharing in Continuous Sliding-Window Aggregates 2004 VLDB 0.0001119284
1,383 On-the-Fly Sharing for Streamed Aggregation 2006 SIGMOD 0.00010847646
1,433 Towards a Learning Optimizer for Shared Clouds 2019 VLDB 0.00010677711
2,446 Azure Data Lake Store: A Hyperscale Distributed File Service for Big Data Analytics 2017 SIGMOD 8.4547121e-05
2,782 Scheduling for shared window joins over data streams 2003 VLDB 8.0252514e-05
3,371 Dynamic Plan Migration for Continuous Queries Over Data Streams 2004 SIGMOD 7.3693585e-05
3,400 High-Performance Dynamic Pattern Matching over Disordered Streams 2010 VLDB 7.3336355e-05
3,410 Scalable Pattern Sharing on Event Streams 2016 SIGMOD 7.3258817e-05
4,023 Real-Time Multi-Pattern Detection over Event Streams 2019 SIGMOD 6.8476587e-05
4,621 Join Query Optimization Techniques for Complex Event Processing Applications 2018 VLDB 6.4987856e-05
4,918 LightSaber: Efficient Window Aggregation on Multi-core Processors 2020 SIGMOD 6.3548575e-05
6,304 GRETA: Graph-based Real-time Event Trend Aggregation 2018 VLDB 5.8183983e-05
6,332 Complete Event Trend Detection in High-Rate Event Streams 2017 SIGMOD 5.8116583e-05
6,599 AStream: Ad-hoc Shared Stream Processing 2019 SIGMOD 5.7404438e-05
6,705 E-Cube: Multi-Dimensional Event Sequence Analysis Using Hierarchical Pattern Query Sharing 2011 SIGMOD 5.7051166e-05
8,489 Event Trend Aggregation Under Rich Event Matching Semantics 2019 SIGMOD 5.3316951e-05
9,942 Complex Event Analytics: Online Aggregation of Stream Sequence Patterns 2014 SIGMOD 5.1061569e-05
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