A Boyer-Moore Type Algorithm for Timed Pattern Matching

A Boyer-Moore Type Algorithm for Timed Pattern Matching
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一种Boyer-Moore型定时模式匹配算法

DOI:
10.1007/978-3-319-44878-7_8
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发表时间:
2016
期刊:
Formal Modeling and Analysis of Timed Systems - 14th International Conference, FORMATS 2016, Quebec, QC, Canada, August 24-26, 2016, Proceedings. Lecture Notes in Computer Science 9884, Springer
影响因子:
--
通讯作者:
Ichiro Hasuo
Ichiro Hasuo
中科院分区:
--
文献类型:
--
作者:
Masaki Waga;Takumi Akazaki;Ichiro Hasuo

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时间模式匹配问题是由Ulus等人提出的,并在实时监控系统中得到了广泛的应用。该问题需要作为输入的定时字/信号和定时模式(由定时正则表达式或定时自动机指定);它返回的一组时间间隔的给定定时字,当限制到该时间间隔时,匹配给定的模式。基于经典的Boyer-Moore字符串匹配算法及其由沃森和沃森扩展到(非定时)模式匹配的方法,我们提出了一种Boyer-Mooretype优化算法。我们通过实验来评估其效果;对于某些问题实例,我们的Boyer-Moore类型优化实现了两倍的速度提升,表明其在数据集往往很大的实际监控任务中的潜力。
Thetimed pattern matchingproblem is formulated by Ulus et al. and has been actively studied since, with its evident application in monitoring real-time systems. The problem takes as input atimed word/signaland atimed pattern(specified either by atimed regular expressionor by atimed automaton); and it returns the set of those intervals for which the given timed word, when restricted to the interval, matches the given pattern. We contribute aBoyer-Mooretype optimization in timed pattern matching, relying on the classic Boyer-Moore string matching algorithm and its extension to (untimed) pattern matching by Watson and Watson. We assess its effect through experiments; for some problem instances our Boyer-Moore type optimization achieves speed-up by two times, indicating its potential in real-world monitoring tasks where data sets tend to be massive.
使用导数的在线定时模式匹配
DOI: --
发表时间: 2016
期刊: International Conference on Tools and Algorithms for Construction and Analysis of Systems
影响因子: --
作者:
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影响因子: --
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发表时间: 2014
期刊: 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE)
影响因子: --
作者:
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