• Complex
  • Title
  • Keyword
  • Abstract
  • Scholars
  • Journal
  • ISSN
  • Conference
搜索

Author:

Xie, Hongliang (Xie, Hongliang.) | Liao, Husheng (Liao, Husheng.) (Scholars:廖湖声) | Gao, Hongyu (Gao, Hongyu.)

Indexed by:

CPCI-S

Abstract:

The social networking, network monitoring and financial applications have a need to query high rate streaming of XML data, but previous methods for executing XPath queries on streaming XML data have not kept pace with multicore CPUs. Data parallel query methods can improve processing efficiency by using multi-core CPU. Push down transducer as a special type of automaton, it not only can be used to handle XML data, and its internal stack structure can preserve the important information in the processing, so it can combine with the data parallel querying to improve the processing efficiency further. In order to improve the efficiency, transfers XPath query pattern into a series of ordered subquery which its result are valid and has easier logic.

Keyword:

data parallel XML stream pushdown transducer ordered tree pattern XPath

Author Community:

  • [ 1 ] [Xie, Hongliang]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 2 ] [Liao, Husheng]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China
  • [ 3 ] [Gao, Hongyu]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

Reprint Author's Address:

  • [Xie, Hongliang]Beijing Univ Technol, Fac Informat Technol, Beijing, Peoples R China

Email:

Show more details

Related Keywords:

Related Article:

Source :

PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (CAAI 2017)

ISSN: 1951-6851

Year: 2017

Volume: 134

Page: 433-437

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

Online/Total:1746/10727751
Address:BJUT Library(100 Pingleyuan,Chaoyang District,Beijing 100124, China Post Code:100124) Contact Us:010-67392185
Copyright:BJUT Library Technical Support:Beijing Aegean Software Co., Ltd.