Title :
Effective Load-Balancing Framework for Distributed WebGIS
Author :
Shang Yan-Ling ; Xu Xu-Dong
Author_Institution :
Coll. of Comput. Sci. & Technol., Beijing Univ. of Technol., Beijing, China
fDate :
June 30 2009-July 2 2009
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.
Keywords :
Internet; geographic information systems; resource allocation; software agents; cable monitoring system; distributed WebGIS; hybrid model WebGIS framework; intelligent agent; load-balancing framework; network resources; Application software; Computer architecture; Computer network management; Computer networks; Displays; Distributed computing; File servers; Geographic Information Systems; Network servers; Web server; Distributed-GIS; IntelligentAgent; Load-Balancing;
Conference_Titel :
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3687-3
DOI :
10.1109/NISS.2009.167