DocumentCode :
675752
Title :
A Framework for Automated Service Negotiation
Author :
Hashmi, Khayyam ; Najmi, Erfan ; Malik, Zaki ; Rezgui, Abdelmounaam
Author_Institution :
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
fYear :
2013
fDate :
16-18 Dec. 2013
Firstpage :
233
Lastpage :
240
Abstract :
Web services composition enables the business to dynamically and seamlessly integrate business applications on the web. The performance of an overall composition is a function of its individual component services. Hence, both functional and nonfunctional properties of Web services are important when negotiating component service for a system. Automated negotiation helps speed up this process and often improves the overall quality of the composite system. In this paper, we present a negotiation Web service that would be used by both the businesses searching for a Web service as well as the providers of Web services for conducting negotiations for dependent QoS parameters. We present the detailed architecture and system engineering view of our framework and use a genetic algorithm (GA) based approach for finding acceptable solutions in multi-party and multi-objective scenarios. Experimental results indicate the applicability and improved performance of our approach in facilitating the negotiations involved in a Web service composition process.
Keywords :
Web services; business data processing; genetic algorithms; Web service composition process; World Wide Web; automated negotiation; automated service negotiation; business applications; component services; composite system; genetic algorithm; multiobjective scenarios; multiparty scenarios; negotiation Web service; system engineering; Communities; Contracts; Databases; Genetic algorithms; Protocols; Web services; Genetic Algorithm; Web service; automated negotiation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Service-Oriented Computing and Applications (SOCA), 2013 IEEE 6th International Conference on
Conference_Location :
Koloa, HI
Print_ISBN :
978-1-4799-2701-2
Type :
conf
DOI :
10.1109/SOCA.2013.27
Filename :
6717311
Link To Document :
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