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Author:

Shang Yan-Ling (Shang Yan-Ling.) | Xu Xu-Dong (Xu Xu-Dong.) | Qin RiQiang (Qin RiQiang.) | Di Bin (Di Bin.)

Indexed by:

CPCI-S

Abstract:

The contradiction between Distributed WebGIS massive data and the limited bandwidth of network resources is becoming more and more serious, and the inquiry of vector data and transmission of massive data between the client and the server end has become the critical key of the problem. Based on analysis of the two frameworks of WebGIS and the properties of intelligent Agent in the field of Distributed WebGIS, this article attempts to present a hybrid model WebGIS framework. The experiment for cable monitoring system conducted in State Grid in Beijing has proved that this framework is effective on improving the inquiry speed and maintaining a good network-load performance.

Keyword:

Distributed-GIS Loading-Balancing Intelligent Agent

Author Community:

  • [ 1 ] [Shang Yan-Ling]Beijing Univ Technol, Coll Comp, Beijing 100124, Peoples R China
  • [ 2 ] [Xu Xu-Dong]Beijing Univ Technol, Coll Comp, Beijing 100124, Peoples R China
  • [ 3 ] [Qin RiQiang]Beijing Univ Technol, Coll Comp, Beijing 100124, Peoples R China
  • [ 4 ] [Di Bin]Beijing Univ Technol, Coll Comp, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Shang Yan-Ling]Beijing Univ Technol, Coll Comp, Beijing 100124, Peoples R China

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Source :

ADVANCING KNOWLEDGE DISCOVERY AND DATA MINING TECHNOLOGIES, PROCEEDINGS

Year: 2009

Page: 359-363

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: 5

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