Intelligent Web Services Selection based on AHP and Wiki

Author

Wu, Chen ; Chang, Elizabeth

Author_Institution

Curtin Univ. of Technol., Perth

fYear

2007

fDate

2-5 Nov. 2007

Firstpage

767

Lastpage

770

Abstract

Web service selection is an essential element in service-oriented computing. How to wisely select appropriate Web services for the benefits of service consumers is a key issue in service discovery. In this paper, we approach QoS-based service selection using a decision making model - the analytic hierarchy process (AHP). In our solution, both subjective and objective criteria are supported by the AHP engine in a context-specific manner. We also provide a flexible Wiki platform to collaboratively form the initial QoS model within a service community. The software prototype is evaluated against the system scalability.

Keywords

Web services; Web sites; decision making; knowledge based systems; quality of service; AHP engine; QoS-based service selection; Wiki; analytic hierarchy process; decision making model; intelligent Web services selection; service consumers; service discovery; service-oriented computing; software prototype; system scalability; Collaboration; Decision making; Ecosystems; Engines; Fasteners; Quality of service; Runtime; Scalability; Software prototyping; Web services;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Intelligence, IEEE/WIC/ACM International Conference on

Conference_Location

Fremont, CA

Print_ISBN

978-0-7695-3026-0

Type

conf

DOI

10.1109/WI.2007.15

Filename

4427186