Abstract

Dynamic interactions in complex service-oriented systems increasingly demand for automated adaptation techniques to optimize resource discovery and selection. We describe a science collaboration scenario that applies mechanisms for adaptive information sharing, and introduce an adaptation approach that accounts for emerging trust relations based on varying interaction behavior of collaboration partners. This behavioral trust provides an intuitive grounding for customization and optimization of member compositions and sharing policies. As people prove their reliable and dependable behavior in jointly performed activities, they become increasingly considered as invaluable partners. We describe the foundational concepts, including support for ad-hoc and self-managed collaboration scenarios, and dynamic trust determination supported by SOA concepts. We highlight major concerns of trust management in highly dynamic networks and deal with temporal aspects such as supporting the emergence of trust, efficient update mechanisms, and aging of relations. Furthermore, we present a prototype implementation of a trust-based sharing framework, and evaluate its applicability from a system’s perspective and end-user’s view.

Citations