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作者:

Yan, Lei (Yan, Lei.) | Liao, Husheng (Liao, Husheng.) (学者:廖湖声) | Su, Hang (Su, Hang.)

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EI Scopus

摘要:

Complex event processing is a technology that obtains valuable complex events from the low value of single events, and is widely used in the network system of big data era. In order to solve the need of 'rich the description language of complex event' and 'promote the efficiency of event stream pattern matching', an original scheme of complex event detection is proposed in this study. It adopts the regular tree pattern to describe the complex events, which can not only describe the structure but also the timing constraints of events. Based on the means of tree ordering, automaton and mapping table, the scheme combines data-parallel and task-parallel and make full use of the multi-core advantage of computers. The experimental results show that the scheme has a high performance on complex event detection. © 2018 Association for Computing Machinery.

关键词:

Big data Complex networks Computer hardware description languages Data streams Forestry Information systems Information use Parallel algorithms Pattern matching Trees (mathematics)

作者机构:

  • [ 1 ] [Yan, Lei]Faculty of Information Technology, Beijing University of Technology, No.100 PingLeYuan, ChaoYang, Beijing, China
  • [ 2 ] [Liao, Husheng]Faculty of Information Technology, Beijing University of Technology, No.100 PingLeYuan, ChaoYang, Beijing, China
  • [ 3 ] [Su, Hang]Faculty of Information Technology, Beijing University of Technology, No.100 PingLeYuan, ChaoYang, Beijing, China

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年份: 2018

页码: 34-39

语种: 英文

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 1

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