DocumentCode :
2297587
Title :
QoS Based Design and Development in Spatial Data Sharing Platform for Disaster Management
Author :
Su, Ying ; Yang, Lei ; Peng, Jie
Author_Institution :
Inst. of Sci. & Tech. Inf. of China, Univ. of Technol., Guangzhou, China
Volume :
1
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
426
Lastpage :
430
Abstract :
This paper aims to describe development of a Web-based spatial data sharing platform for disaster management. Alongside functionality, quality of image (I-Q) is basic to successful sharing of distributed geo-services. This paper explores I-Q provisioning in the context of geo-service sharing for disaster management. The paper presents an I-Q model for disaster management and illustrates how user level I-Q requirements can be supported in quality-aware geo-service architecture. In contrast to context-specific I-Q assurance algorithms, which usually focus on a few variables determined by local needs, this approach provides interactive, multi-granularity and context-sensitive I-Q indicators that help experts to build and justify their opinions. The prototype system was designed and validated by enhancing I-Q generated by remote sensing through the technologies of visualization.
Keywords :
Internet; data mining; data visualisation; disasters; emergency services; geographic information systems; geophysical signal processing; image processing; quality of service; remote sensing; spatial data structures; GIS; OLAP; QoS based design; QoS based development; Web-based spatial data sharing platform; context-specific I-Q assurance algorithm; disaster management; distributed geo-service; image quality; interactive-multigranularity-context-sensitive I-Q indicator; remote sensing; user level I-Q requirement; visualization technology; Business; Data engineering; Disaster management; Image analysis; Image quality; Information analysis; Logistics; Quality of service; Resource management; Software engineering; Disaster Management; Image Quality; Quality of Service (QoS); Web Service;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, 2009. WCSE '09. WRI World Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3570-8
Type :
conf
DOI :
10.1109/WCSE.2009.423
Filename :
5319144
Link To Document :
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