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Scalable Regular Expression Matching on Data Streams

Summary: End-to-end high-performance RE matching on data streams by marrying DFA throughput with NFA space efficiency. Core ideas: cache the frequent DFA states, cluster interacting REs to cap state blowup, enabling scalable matching under tight memory and outperforming a leading IDS. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
3986
Venue
SIGMOD
Year
2008
Pagerank
6.0594419e-05
Overall Rank
4,586 | 68.13%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
619 Towards an Internet-Scale XML Dissemination Service 2004 VLDB 0.00018983711
3,530 RE-Tree: An Efficient Index Structure for Regular Expressions 2002 VLDB 7.0008977e-05
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