A QoS-aware adaptive Web-based system

This paper presents the framework for a QoS-aware adaptive Web-based system (QoSAS) that adapts Web content based on both user-perceived-QoS and user interests related to the Web content. The architecture of the QoSAS includes a novel perceived performance model (PPM) that models user-perceived performance features via different QoS metrics and suggests content constraints in order to improve the perceived performance. The PPM stereotype-based mathematical model is presented in detail as well as preliminary simulation test results. These results demonstrate that the PPM helps the QoSAS to improve the user satisfaction.