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Author:

Xu, Xu-Dong (Xu, Xu-Dong.) | Shang, Yan-Ling (Shang, Yan-Ling.)

Indexed by:

EI Scopus

Abstract:

The contradiction between Distributed- GIS massive data and the limited bandwidth of network resources is becoming more and more serious, inquiry of distant vector data and transmission of massive data become the crisis key of the problem. Based on analyzing the method of massive data inquiry, combing with the query optimized method of spatial database and the cost function, we proposed a novel vector data inquiry method which is optimized and can transplant to the client. The experiment proved that this method is effective on improving the inquiry speed and maintaining a good network-load performance. © 2008 IEEE.

Keyword:

Cost functions Query processing Metadata Software engineering

Author Community:

  • [ 1 ] [Xu, Xu-Dong]College of Computer, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Shang, Yan-Ling]College of Computer, Beijing University of Technology, Beijing 100124, China

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Source :

Year: 2008

Volume: 4

Page: 582-585

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

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