DocumentCode :
3053034
Title :
A Quantitative and Qualitative Approach for NFP-Aware Web Service Composition
Author :
Wang, Hongbing ; Ma, Peisheng ; Zhou, Xuan
Author_Institution :
Sch. of Comput. Sci. & Eng., Southeast Univ., Nanjing, China
fYear :
2012
fDate :
24-29 June 2012
Firstpage :
202
Lastpage :
209
Abstract :
Web service composition is a standard approach to create value-added services from existing ones. As the Web services on the Internet grows, there are more and more services providing identical functionalities while differing in their non-functional properties (NFPs). However, most of the existing techniques for NFP-aware service composition consider either only quantitative NFPs or only qualitative NFPs. In this paper, we present a service composition model considering both quantitative and qualitative NFPs. We propose two algorithms for conducting service composition. One combines global optimization with local selection into one mechanism. The other is a genetic algorithm based solution. We have conducted extensive experiments to evaluate the effectiveness of our proposals.
Keywords :
Web services; genetic algorithms; Internet; genetic algorithm; global optimization; identical functionality; local selection; nonfunctional property-aware Web service composition; qualitative approach; quantitative approach; value-added service; Availability; Genetic algorithms; Testing; Time factors; USA Councils; Vectors; Web services; NFP-aware; NFPs; TCP-nets; qualtitative and qualitative; service composition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing (SCC), 2012 IEEE Ninth International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4673-3049-7
Type :
conf
DOI :
10.1109/SCC.2012.16
Filename :
6274145
Link To Document :
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