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Author:

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

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

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

Author Community:

  • [ 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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Source :

Year: 2018

Page: 34-39

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 14

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