A dynamic trust network based simulation framework for reputation-based service selection

Abstract

Service-oriented computing is a promising approach to software system construction by selecting and composing autonomous services under the open, dynamic and non-deterministic Internet environment. Appropriate selection of high quality services used in from numerous candidates declaring similar functionalities is crucial to the overall quality of the composed system. As authority centers are not generally available in open environments, reputation-based mechanisms must be adopted to evaluate services. With more and more reputation systems proposed in the literature, there is an increasing need to evaluate and compare them objectively and systematically with a common controlled experiment of trust network environment. In this paper we propose a general simulation framework based on dynamic trust network for this purpose. Especially, the framework is capable to simulate the dynamic evolutions of the trust network, in addition to the static snapshots of the trust relationships. With this framework, some case studies are made to evaluate the effectiveness of several representative reputation mechanisms, and some interesting characters are revealed.