A Case Based Reasoning Framework for Service Selection and Adaptation in Mobile Networks

Service selection and adaptation is of paramount importance in contemporary mobile networks. Many diverse parameters should be taken into account (e.g., user context, terminal and network capabilities) for the selection of the appropriate service or the required service adaptations. In this paper we propose a framework for service selection and adaptation. A case based reasoning system (CBRS) is used to select the most appropriate service. Services are modelled using formal semantics. The CBRS retrieves the most appropriate service by comparing previous cases with the current service request. This comparison is performed using similarity metrics. We elaborate on the different aspects of the discussed architecture and provide indicative examples to illustrate the versatility of the proposed scheme.