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Author:

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

Indexed by:

CPCI-S

Abstract:

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 because of the contradiction between Distributed WebGIS massive data and the limited bandwidth of network resources. Based on analysis of the two frameworks of WebGIS and the properties of intelligent Agent in the field of Distributed WebGIS, this paper attempts to present a hybrid model WebGIS framework. The performance of this hybrid model has been verified though the experiment for cable monitoring system conducted in State Grid in Beijing. It has been proved that this framework is effective on improving the inquiry speed and maintaining a good network-load performance.

Keyword:

Load-Balancing Distributed-GIS IntelligentAgent

Author Community:

  • [ 1 ] [Shang Yan-Ling]Beijing Univ Technol BJUT, Coll Comp Sci & Technol, Beijing 10024, Peoples R China
  • [ 2 ] [Xu Xu-Dong]Beijing Univ Technol BJUT, Coll Comp Sci & Technol, Beijing 10024, Peoples R China

Reprint Author's Address:

  • [Shang Yan-Ling]Beijing Univ Technol BJUT, Coll Comp Sci & Technol, Beijing 10024, Peoples R China

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Source :

2009 INTERNATIONAL CONFERENCE ON NEW TRENDS IN INFORMATION AND SERVICE SCIENCE (NISS 2009), VOLS 1 AND 2

Year: 2009

Page: 1130-1133

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

Affiliated Colleges:

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