Web Service Selection Using Decision Tree Analysis in a Risky Environment

摘要

In real world scenario managerial decisions are made to maximize profit and minimize loss even under circumstances of risk. Web service composition is the process of aggregation of services to create virtual enterprises. During composition the aim of service providers is to offer good service to the client and ensure good return of investment. Software agent composers have several strategies to compose services automatically. However most of the composition algorithms aim at serving good service to the client without considering the corporate metrics and hence regarded as a toy model. To promote web service composition as a feasible business model we have proposed a service provider collaboration stack that considers the service providers metrics during composition. The modules for time planning, profit management, native intelligence and user adoption of SLAKY composition stack have already been implemented. In this paper we focus on selecting services with maximum profit for the composition under environmental metric of risk using decision theory. The software agent uses decision tree analysis to identify the best course of action to be chosen till the end under various possible outcomes as a whole.