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
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