The advent of service-oriented architectures has created a unique opportunity for business providers and consumers to establish more versatile and flexible interactions across the Internet by means of a new generation of services that are discoverable, composable, configurable, and reusable. In order to support such services all along their life cycle, underlying service-oriented infrastructures have to provide various functionalities, including service discovery. In large scale environments, like the Internet, a discovery process may result in a very large number of matching services. Service quality, cost and reputation are substantial aspects for differentiating between similar services. In order to help users select the most appropriate service, an automated service selection algorithm is proposed. The devised algorithm helps to accurately predict service suitability to quality requirements while taking into account the reputation parameter.
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