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Quality of Experience Engineering for Customer Added Value Services
From Evaluation to Monitoring
Abdelhamid Mellouk (Edited by), A Mellouk (Author), Antonio Cuadra-Sanchez (Edited by)
9781848216723, Wiley
Hardback, published 1 July 2014
256 pages
24.1 x 16.3 x 2.3 cm, 0.572 kg
The main objective 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 topics which are currently important, such as service-aware future Internet architecture for Quality of Experience (QoE) management on multimedia applications. In recent years, multimedia applications and services have experienced a sudden growth. Today, video display is not limited to the traditional areas of movies and television on TV sets, but these applications are accessed in different environments, with different devices and under different conditions. In addition, the continuous emergence of new services, along with increasing competition, is forcing network operators and service providers to focus all their efforts on customer satisfaction, although determining the QoE is not a trivial task. This 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.
Preface xi Abdelhamid Mellouk Chapter 1 Challenges for Quality of Experience Engineering for Added Value Services 1 1.1 Introduction and challenges 1 1.2 Contents 2 1.3 Conclusion 10 Chapter 2 An Ecosystem for Customer Experience Management 11 2.1 Introduction 11 2.2 Managing customer experience 12 2.3 Quality of experience ecosystem 14 2.4 IPNQSIS 23 2.5 NOTTS 25 2.6 Conclusions 28 2.7 Acknowledgments 28 2.8 Bibliography 28 Chapter 3 Measuring MPEG Frame Loss Rate to Evaluate the Quality of Experience in IPTV Service 31 3.1 Introduction 32 3.2 Related work 33 3.3 Method description 34 3.4 QoE prediction models 36 3.5 Network monitoring tool 43 3.6 Performance assessment 45 3.7 Conclusions and future work 48 3.8 Acknowledgments 49 3.9 Bibliography 49 Chapter 4 Estimating the Effect if Context on the QoE of Audiovisual Services 53 4.1 Introduction 53 4.2 Test content 55 4.3 Subjective tests in laboratory 57 4.4 Subjective tests at exhibition 58 4.5 Results 60 4.6 Conclusions and further work 69 4.7 Bibliography 70 Chapter 5 IPTV Multiservice QoE Management System 73 5.1 Introduction 73 5.2 State of the art 75 5.3 Multiservice IPTV probe 80 5.4 QoE management system 85 5.5 Conclusions 90 5.6 Acknowledgments 90 5.7 Bibliography 90 Chapter 6 High Speed Multimedia Flow Classification 93 6.1 Introduction 93 6.2 The architecture 95 6.3 Validation 110 6.4 Conclusions 114 6.5 Acknowledgments 115 6.6 Bibliography 115 Chapter 7 User Driven Server Selection Algorithm for CDN Architecture 119 7.1 Introduction 119 7.2 Multi-armed bandit formalization 122 7.3 Server selection schemes 136 7.4 Our proposal for QoE-based server selection method 136 7.5 Experimental results 139 7.6 Acknowledgments 146 7.7 Conclusion 147 7.8 Bibliography 147 Chapter 8 QoE Approaches for Adaptive Transport of Video Streaming Media 151 8.1 Introduction 151 8.2 Adaptive video transport 153 8.3 Microsoft Smooth Streaming 156 8.4 Apple HTTP live streaming 158 8.5 Adobe HTTP dynamic streaming 159 8.6 MPEG-dynamic adaptive streaming over HTTP 159 8.7 The goals of adaptive video streaming 161 8.8 Quality metrics for video streaming 162 8.9 The role of TCP in adaptive video streaming 163 8.10 Bibliography 168 Chapter 9 QoS and QoE Effects of Packet Losses in Multimedia Video Streaming 171 9.1 Introduction to the overall scenario 171 9.2 Related work 173 9.3 Multilayer performance metrics 174 9.4 QoE multilayer metric and quality assessment mechanism 178 9.5 Video streaming use case: peer-to-peer television (P2PTVG) 180 9.6 Conclusions and further actions 189 9.7 Bibliography 189 Chapter 10 A Model for Quality of Experience Estimation Based on Quality of Service Parameter Monitoring for Multimedia Convergent Services (3-Play) 191 10.1 Introduction 191 10.2 Presentation of the model 193 10.3 Application of the model to convergent (3P) services 196 10.4 Quality evaluation process 199 10.5 Model testing 218 10.6 Conclusions and future work 219 10.7 Acknowledgments 220 10.8 Bibliography 220 Chapter 11 Quality of Experience Estimation in Networks 225 11.1 Introduction 225 11.2 QuEEN terminology and concepts 226 11.3 Modeling the QoE, The ARCU model 229 11.4 The QuEEN layered model 232 11.5 Applications 235 11.6 Conclusions 240 11.7 Acknowledgments 241 11.8 Bibliography 241 Chapter 12 QoE-Based Network Selection in Heterogeneous Environments 245 12.1 Introduction 245 12.2 Network selection in homogeneous environments: a use case in WLAN 248 12.3 Related work for network selection in the heterogeneous environment 251 12.4 QoE-based network selection in heterogeneous networks 254 12.5 Conclusions and discussions 262 12.6 Bibliography 263 List of Authors 267 Index 271
Abdelhamid Mellouk and Antonio Cuadra-Sanchez
Antonio Cuadra-Sanchez, Mar Cutanda-Rodriguez, Andreas Aurelius, Kjell Brunnstrom, Jorge E. Lopez De Vergara, Martin Varela, Jukka-Pekka Laulajainen, Anderson Morais, Ana Cavalli, Abdelhamid Mellouk, Brice Augustin and Ismael Perez-Mateos
Diego Hernando-Loeda, Jorge De Vergara, Javier Aracil, David Madrigal and Felipe Mata
Toni Maki, Martin Varela and Jukka-Pekka Laulajainen
Antonio Cuadra-Sanchez, Mar Cutanda-Rodriguez, Alfredo Perez-Montero Eugenio Rogles, Jesus Gutierrez and Fernando Jaureguizar
Rafael Leira Osuna, Pedro Gomez Nieto, Ivan Gonzalez and Jorge E. Lopez De Vergara
Said Hoceini, Hai Anh Tran and Abdelhamid Mellouk
M. Sajid Mushtaq, Brice Augustin and Abdelhamid Mellouk
Rene Serral-Gracia, Eva Marin-Tordera, Xavier Masip-Bruin and Marcelo Yannuzzi
Pedro De La Cruz Ramos, Raquel Perez Leal, Francisco Gonzalez Vidal and Luis Bellido Triana
Frederic Guyard, Martin Varela, Lea Skorin-Kapov, Antonio Cuadra-Sanchez and Pedro J. Sevilla-Ramos
Kandaraj Piamrat, Hyunhee Park, Kamal DEEP Singh and Cesar VIHO
Subject Areas: Electronics & communications engineering [TJ]
