LEADER 05766nam 2200721 450 001 9910824452203321 005 20230803203716.0 010 $a1-118-98435-8 010 $a1-118-98434-X 035 $a(CKB)3710000000187047 035 $a(EBL)1734306 035 $a(SSID)ssj0001340561 035 $a(PQKBManifestationID)11758611 035 $a(PQKBTitleCode)TC0001340561 035 $a(PQKBWorkID)11381189 035 $a(PQKB)11227616 035 $a(OCoLC)889014272 035 $a(MiAaPQ)EBC1734306 035 $a(Au-PeEL)EBL1734306 035 $a(CaPaEBR)ebr10892210 035 $a(CaONFJC)MIL627088 035 $a(OCoLC)883891948 035 $a(EXLCZ)993710000000187047 100 $a20140723h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aQuality of experience engineering for customer added value services $efrom evaluation to monitoring /$fedited by Abdelhamid Mellouk, Antonio Cuadra-Sanchez 210 1$aLondon, England ;$aHoboken, New Jersey :$cISTE :$cWiley,$d2014. 210 4$dİ2014 215 $a1 online resource (288 p.) 225 1 $aNetworks and Telecommunications Series 300 $aDescription based upon print version of record. 311 $a1-84821-672-6 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aCover; 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 327 $a1.2.6. Chapter 7: User driven server Selection algorithm for CDN architecture1.2.7. 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 327 $a2.1. Introduction2.2. 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 327 $a3.4.1. Packet loss rate based model3.4.2. 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 327 $a4.6. Conclusions and further work4.7. 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 327 $aChapter 6. High Speed Multimedia Flow Classification 330 $aAddressing the QoE for improving customer perception when using Added Value Services offered by service providers, from the evaluation to the monitoring and other management processes. The main goal of the book is to present state-of-the-art research results and experience reports in the area of Quality Monitoring for Customer experience management, addressing amongst others currently important topics such as Service-aware Future Internet architecture for Quality of Experience (QoE) management on multimedia applications. 410 0$aNetworks and telecommunications series. 606 $aCustomer services$xManagement 606 $aCustomer services$xQuality control 606 $aQuality control$xManagement 606 $aTotal quality management$xData processing 615 0$aCustomer services$xManagement. 615 0$aCustomer services$xQuality control. 615 0$aQuality control$xManagement. 615 0$aTotal quality management$xData processing. 676 $a658.812 702 $aMellouk$b Abdelhamid 702 $aCuadra-Sanchez$b Antonio 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910824452203321 996 $aQuality of experience engineering for customer added value services$93938628 997 $aUNINA