Title :
An Optimization Method for Inquiry of Vector Data Based on Client
Author :
Xu-Dong Xu ; Yan-Ling Shang
Author_Institution :
Coll. of Comput., Beijing Univ. of Technol., Beijing
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.
Keywords :
dynamic programming; geographic information systems; query processing; resource allocation; visual databases; distant vector data; distributed-GIS massive data inquiry; dynamic programming; limited network bandwidth resource; query optimization method; spatial database; vector data inquiry method; Computational geometry; Cost function; Educational institutions; Geographic Information Systems; Information filtering; Information filters; Material storage; Optimization methods; Query processing; Spatial databases; Cost Function; Distributed-GIS; Query Optimization;
Conference_Titel :
Computer Science and Software Engineering, 2008 International Conference on
Conference_Location :
Wuhan, Hubei
Print_ISBN :
978-0-7695-3336-0
DOI :
10.1109/CSSE.2008.838