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Scalable Pattern Sharing on Event Streams
Summary: SPASS optimizes CEP workloads by spotting time-based pattern sharing, yielding a polynomial-time plan with optimality bound. Runtime uses stream transactions for concurrent maintenance and reuse of sub-patterns; achieves 16x speedups vs state-of-the-art.
(summarized by gpt-5-nano on Feb 09 2026)
Paper ID
h85a4a1326640cd5e
Venue
SIGMOD
Year
2016
Pagerank
7.298206e-05
Overall Rank
3,422 | 77.07%
DOI
10.1145/2882903.2882947
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{ray_sigmod16,
title = {{Scalable Pattern Sharing on Event Streams}},
author = {Ray, Medhabi and Lei, Chuan and Rundensteiner, Elke A.},
series = {{SIGMOD} '16},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2882903.2882947},
url = {https://dl.acm.org/doi/10.1145/2882903.2882947},
year = {2016}
}
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