Challenges for Quality of Experience Engineering for Added Value Services
Abdelhamid Mellouk, Antonio Cuadra Sánchez · 2014
This book presents a new paradigm that is driven by user perception and based on control theory and machine learning techniques in order to support smart communications to avoid any complete interruption in the whole chain of service treatment. The main goal of the book is to present state-of-the-art research results and experience reports in the area of Quality Monitoring for customer experience management, addressing, amongst others, currently important topics such as Service-aware Future Internet architecture for Quality of Experience (QoE). The book addresses the QoE for improving customer perception when using added value services offered by service providers, from evaluation to monitoring and other management processes. This chapter summarizes the contents of the subsequent chapters that are gathered in the book.