Intelligent web services selection based on AHP and Wiki
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Copyright 2007 IEEE
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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.
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