基于多字符DFA的高速正则表达式匹配算法

基于确定性有限自动机(DFA)的传统正则表达式匹配方法存在单周期处理单字符的速度瓶颈。为提升处理速率，提出一种单周期处理多字符的匹配算法MC-DFA，该算法基于DFA实现，支持匹配位置的精确定位。MC-DFA将传统DFA中的单字符跳转合并为多字符跳转，实现了单周期处理多个输入字符。通过状态转移矩阵二阶压缩算法，MC-DFA分别对矩阵行内以及行间冗余进行消除，减少了内存使用。300条规则下，单周期处理8字符时，MC-DFA吞吐率能够达到7.88Gb/s，内存占用小于6MB，预处理时间为19.24s。实验结果表明，MC-DFA能够有效提升系统吞吐率，并且保证内存占用在可接受范围之内，性能优于现有正则表达式匹配算法。

Multi-character DFA-based high speed regular expression matching algorithm

Traditional Deterministic Finite Automata (DFA) based regular expression matching can only process one character per cycle, which is the speed bottleneck. A new algorithm named Multi-Character DFA (MC-DFA) was proposed for high throughput matching and precise positioning. It combined the one character transition in traditional DFA together to handle multi-character processing per cycle. A new transition matrix compress algorithm was also proposed to reduce the redundancy introduced by MC-DFA. The result demonstrates that MC-DFA can improve the throughput efficiently while requiring acceptable memory. For a set of 300 regexes, 8C-DFA obtains a throughput of 7.88Gb/s, memory usage less than 6MB and 19.24s preprocessing time, better than traditional methods.