Abstract
The diversity of service access contexts and the co-existence of different technologies that characterizes the forthcoming 4G systems lead to the heterogeneity of the networks and systems that support e nd-user applications' provision. This creates the requirement for applicat ions to be optimally delivered and executed over a large d iversity of infrastructures and configurations, as well as for dynamic adaptability of services to changing conditions and c ontexts. The present paper focuses on context-awareness in service provisioning over PLMN and proposes a flexible and innovative model for user profiling. The innovation is based on the enrichment of co mmon user profiling architectures to include location and other contextual attributes, so that enhanced adaptability and personalizat ion is achieved. Moreover, an intelligent distributed midd leware framework that capitalizes the enhanced user profiles and deals with context information is introduced. The framewo rk co mpiles context information and user profiles and can enhance with contextual characteristics even context unaware services.
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