On Complexity and Optimization of Expensive Queries in Complex Event Processing
Summary: Analyzes the complexity of CEP pattern queries with Kleene closures, flexible selection, and timestamp imprecision to pinpoint costly expressive features. Proposes optimizations that remove bottlenecks, supported by microbenchmarks and a Hadoop-case study showing superior performance. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Haopeng Zhang (University of Massachusetts Amherst)
- 2. Yanlei Diao (University of Massachusetts Amherst)
- 3. Neil Immerman (University of Massachusetts Amherst)
BibTeX Citation
@inproceedings{zhang_sigmod14,
title = {{On Complexity and Optimization of Expensive Queries in Complex Event Processing}},
author = {Zhang, Haopeng and Diao, Yanlei and Immerman, Neil},
series = {{SIGMOD} '14},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2588555.2593671},
url = {https://dl.acm.org/doi/10.1145/2588555.2593671},
year = {2014}
}
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