High-Performance Dynamic Pattern Matching over Disordered Streams
Summary: Proposes AFA, a streaming NFA with registers enabling unordered input, revisions, and dynamic updates. Offers order-agnostic semantics and efficient matching; reaches ~200K events/sec and orders-of-magnitude throughput gains over restart. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Badrish Chandramouli (Microsoft)
- 2. Jonathan Goldstein (Microsoft)
- 3. David Maier (Portland State University)
BibTeX Citation
@article{chandramouli_vldb10,
title = {{High-Performance Dynamic Pattern Matching over Disordered Streams}},
author = {Chandramouli, Badrish and Goldstein, Jonathan and Maier, David},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {220--231},
doi = {10.14778/1920841.1920873},
url = {https://doi.org/10.14778/1920841.1920873},
year = {2010}
}
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