Title :
The research on QoS assessment and optimization for geospatial service chain
Author :
Gui, Zhipeng ; Wu, Huayi ; Liu, Wei ; Chen, Yumin
Author_Institution :
State Key Lab. of Inf. Eng. in Surveying, Mapping & Remote Sensing (LIESMARS), Wuhan, China
Abstract :
User experience and satisfaction of Web services and service chain are majorly determined by the quality of services (QoS), which is critical to services selection. Geo-data services and processing services are two fundamental services types of geo-services, where geo-data services provide geo-data, and processing services process and produce data. Therefore, the data quality of geo-data provided by geo-data services and the capabilities of geo-data processing to processing services are inherent characteristics and key quality factors of those geoservices. In this paper, the output quality factors are introduced to cope with above-mentioned characteristics of geo-services. Coupling with process quality factors (common measurement quality factors of Web services), a preliminary QoS assessment model for geo-services is proposed. The dynamic feature and the aggregation functions of QoS factors are discussed. Finally, a services instances´ optimization selection algorithm based on linear programming is designed.
Keywords :
Web services; geographic information systems; linear programming; quality of service; GIS; QoS assessment; Web service; aggregation function; data quality; dynamic feature; geospatial service chain; linear programming; optimization selection algorithm; output quality factor; process quality factor; quality of service; service selection; user experience; user satisfaction; Availability; Delay; Level measurement; Linear programming; Q factor; Quality management; Quality of service; Stability; Throughput; Web services; QoS; geospatial processing; linear programming; service chain; web service composition;
Conference_Titel :
Geoinformatics, 2009 17th International Conference on
Conference_Location :
Fairfax, VA
Print_ISBN :
978-1-4244-4562-2
Electronic_ISBN :
978-1-4244-4563-9
DOI :
10.1109/GEOINFORMATICS.2009.5293531