Quality of Experience Engineering for Customer Added Value Services : From Evaluation to Monitoring.
Antonio. Cuadra-Sanchez
Bok Engelsk 2014 · Electronic books.
| Omfang | 1 online resource (288 pages)
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| Utgave | 1st ed.
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| Opplysninger | Cover -- Title Page -- Copyright -- Contents -- Preface -- Chapter 1. Challenges for Quality of Experience Engineering for Added Value Services -- 1.1. Introduction and challenges -- 1.2. Contents -- 1.2.1. Chapter 2: An Ecosystem for customer experience management -- 1.2.2. Chapter 3: Measuring MPEG frame loss rate to evaluate the QoE in IPTV services -- 1.2.3. Chapter 4: Estimating the effect of context on the QoE of audiovisual services -- 1.2.4. Chapter 5: IPTV multiservice QOE management system -- 1.2.5. Chapter 6: High speed multimedia flow classification -- 1.2.6. Chapter 7: User driven server Selection algorithm for CDN architecture -- 1.2.7. Chapter 8: QoE approaches for adaptive transport of video streaming media -- 1.2.8. Chapter 9: QoS and QoE effects of packet losses in multimedia video streaming -- 1.2.9. Chapter 10: A model for QoE estimation based on QoS parameters monitoring for multimedia convergent services (triple play) -- 1.2.10. Chapter 11: Quality of experience estimators in networks -- 1.2.11. Chatper 12: QoE-based network selection is heterogeneous environments -- 1.3. Conclusion -- Chapter 2. An Ecosystem For Customer Experience Management -- 2.1. Introduction -- 2.2. Managing customer experience -- 2.2.1. Customer experience management -- 2.2.2. Service quality management -- 2.3. Quality of experience ecosystem -- 2.3.1. QoE Data sources -- 2.3.2. QoE monitoring system -- 2.3.3. QoE management system -- 2.4. IPNQSIS -- 2.5. NOTTS -- 2.6. Conclusions -- 2.7. Acknowledgments -- 2.8. Bibliography -- Chapter 3. Measuring Mpeg Frame Loss Rate to Evaluate the Quality of Experience in Iptv Services -- 3.1. Introduction -- 3.2. Related work -- 3.3. Method description -- 3.3.1. Video setup -- 3.3.2. Experiment data -- 3.3.3. VQM general model -- 3.4. QoE prediction models -- 3.4.1. Packet loss rate based model.. - 3.4.2. MPEG frame types -- 3.4.3. MPEG frame loss model -- 3.5. Network monitoring tool -- 3.5.1. Flow Monitor -- 3.5.2. Capture Analyzer -- 3.5.3. QoE Estimator -- 3.6. Performance assessment -- 3.6.1. Assessment on Intel-based PC -- 3.6.2. Assessment on an ARM-based device -- 3.7. Conclusions and future work -- 3.8. Acknowledgments -- 3.9. Bibliography -- Chapter 4. Estimating The Effect of Context on the Qoe of Audiovisual Services -- 4.1. Introduction -- 4.2. Test content -- 4.3. Subjective tests in laboratory -- 4.4. Subjective tests at exhibition -- 4.5. Results -- 4.6. Conclusions and further work -- 4.7. Bibliography -- Chapter 5. Iptv Multiservice Qoe Management System -- 5.1. Introduction -- 5.2. State of the art -- 5.2.1. Video quality metrics -- 5.2.2. Multimedia quality metrics -- 5.2.3. Metrics for QoE monitoring of video services -- 5.3. Multiservice IPTV probe -- 5.3.1. Architecture of the IPTV probe -- 5.3.2. Video quality metrics applied in the IPTV probe -- 5.4. QoE management system -- 5.4.1. Requirements for monitoring and management of QoE -- 5.4.2. Configuration management -- 5.4.3. Result management -- 5.5. Conclusions -- 5.6. Acknowledgments -- 5.7. Bibliography -- Chapter 6. High Speed Multimedia Flow Classification -- 6.1. Introduction -- 6.2. The architecture -- 6.2.1. Intel DPDK -- 6.2.2. Deep packet inspection over GPU -- 6.3. Validation -- 6.3.1. Used hardware -- 6.3.2. Used traffic traces -- 6.3.3. Obtained results -- 6.4. Conclusions -- 6.5. Acknowledgments -- 6.6. Bibliography -- Chapter 7. User Driven Server Selection Algorithm for Cdn Architecture -- 7.1. Introduction -- 7.2. Multi-armed bandit formalization -- 7.2.1. MAB paradigm -- 7.2.2. Applications of MAB -- 7.2.3. Algorithms for MAB -- 7.3. Server selection schemes -- 7.4. Our proposal for QoE-based server selection method.. - 7.4.1. Proposed server selection scheme -- 7.4.2. Proposed UCB1-based server selection algorithm -- 7.5. Experimental results -- 7.5.1. Simulation results -- 7.6. Acknowledgments -- 7.7. Conclusion -- 7.8. Bibliography -- Chapter 8. Qoe Approaches for Adaptive Transport of Video Streaming Media -- 8.1. Introduction -- 8.2. Adaptive video transport -- 8.2.1. Background -- 8.2.2. Adaptive video delivery components -- 8.3. Microsoft Smooth Streaming -- 8.4. Apple HTTP live streaming -- 8.5. Adobe HTTP dynamic streaming -- 8.6. MPEG-dynamic adaptive streaming over HTTP -- 8.7. The goals of adaptive video streaming -- 8.8. Quality metrics for video streaming -- 8.9. The role of TCP in adaptive video streaming -- 8.10. Bibliography -- Chapter 9. Qos And Qoe Effects of Packet Losses in Multimedia Video Streaming -- 9.1. Introduction to the overall scenario -- 9.2. Related work -- 9.3. Multilayer performance metrics -- 9.3.1. Overlay performance metrics -- 9.3.2. Application performance metrics -- 9.4. QoE multilayer metric and quality assessment mechanism -- 9.5. Video streaming use case: peer-to-peer television (P2PTV) -- 9.5.1. Testing environment -- 9.5.2. Performance evaluation -- 9.6. Conclusions and further actions -- 9.7. Bibliography -- Chapter 10. A Model for Quality of Experience Estimation Based on Quality of Service Parameter Monitoring for Multimedia Convergent Services (3-Play) -- 10.1. Introduction -- 10.2. Presentation of the model -- 10.3. Application of the model to convergent (3P) services -- 10.4. Quality evaluation process -- 10.4.1. Global quality evaluation -- 10.4.2. Valuation and parameterization functions -- 10.4.3. Weighting and aggregation processes -- 10.4.4. Performance functions -- 10.5. Model testing -- 10.6. Conclusions and future work -- 10.7. Acknowledgments -- 10.8. Bibliography.. - Chapter 11. Quality of Experience Estimators in Networks -- 11.1. Introduction -- 11.2. QuEEN terminology and concepts -- 11.3. Modeling the QoE. The ARCU model -- 11.3.1. Four spaces for QoE-affecting factors -- 11.4. The QuEEN layered model -- 11.5. Applications -- 11.5.1. The QuEEN agent -- 11.5.2. Service QoE monitoring -- 11.5.3. QoE-driven network management -- 11.5.4. Service level management -- 11.6. Conclusions -- 11.7. Acknowledgments -- 11.8. Bibliography -- Chapter 12. Qoe-Based Network Selection in Heterogeneous Environments -- 12.1. Introduction -- 12.2. Network selection in homogeneous environments: a use case in WLAN -- 12.3. Related work for network selection in the heterogeneous environment -- 12.4. QoE-based network selection in heterogeneous networks -- 12.4.1. Getting QoE in real-time -- 12.4.2. Using QoE in network selection over heterogeneous environment -- 12.4.3. Discussion of QoE and load-balancing results -- 12.5. Conclusions and discussions -- 12.6. Bibliography -- List of Authors -- Index.. - 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.
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| Emner | |
| Sjanger | |
| Dewey | |
| ISBN | 9781118984345
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