Monitoring YouTube QoE: Is Your Mobile Network Delivering the Right Experience to your Customers?

YouTube, the killer application of today's Internet, is changing the way ISPs and network operators manage quality monitoring and provisioning on their IP networks. YouTube is currently the most consumed Internet application, accounting for more than 30% of the overall Internet's traffic worldwide. Coupling such an overwhelming traffic volume with the ever intensifying competition among ISPs is pushing operators to integrate Quality of Experience (QoE) paradigms into their traffic management systems. The need for automatic QoE assessment solutions becomes even more critical in mobile broadband networks, where over-provisioning solutions can not be foreseen and bad user experience translates into churning clients. This paper presents a complete study on the problem of YouTube Quality of Experience monitoring and assessment in mobile networks. The paper considers not only the QoE analysis, modeling and assessment based on real users' experience, but also the passive monitoring of the quality provided by the ISP to its end-customers in a large mobile broadband network.

[1]  B. Staehle,et al.  YoMo: A YouTube Application Comfort Monitoring Tool , 2010 .

[2]  Multimedia Quality of Service and performance – Generic and user-related aspects Estimating end-to-end performance in IP networks for data applications , 2014 .

[3]  S. Hemminger.  Network Emulation with NetEm , 2022 .

[4]  Marco Mellia,et al.  YouTube everywhere: impact of device and infrastructure synergies on user experience , 2011, IMC '11.

[5]  Ernst W. Biersack,et al.  A longitudinal view of HTTP video streaming performance , 2012, MMSys '12.

[6]  Krishna P. Gummadi,et al.  Measurement and analysis of online social networks , 2007, IMC '07.

[7]  Xiapu Luo,et al.  Inferring the QoE of HTTP video streaming from user-viewing activities , 2011, W-MUST '11.

[8]  Markus Fiedler,et al.  Initial delay vs. interruptions: Between the devil and the deep blue sea , 2012, 2012 Fourth International Workshop on Quality of Multimedia Experience.

[9]  Marco Mellia,et al.  Dissecting Video Server Selection Strategies in the YouTube CDN , 2011, 2011 31st International Conference on Distributed Computing Systems.

[10]  Phuoc Tran-Gia,et al.  Quantification of YouTube QoE via Crowdsourcing , 2011, 2011 IEEE International Symposium on Multimedia.

[11]  Krishna P. Gummadi,et al.  Analyzing facebook privacy settings: user expectations vs. reality , 2011, IMC '11.

[12]  Rocky K. C. Chang,et al.  Measuring the quality of experience of HTTP video streaming , 2011, 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops.

[13]  Richard Nelson,et al.  Application flow control in YouTube video streams , 2011, CCRV.

[14]  Sebastian Möller,et al.  From Single-Call to Multi-Call Quality: A Study on Long-Term Quality Integration in Audio-Visual Speech Communication , 2011, INTERSPEECH.

[15]  Marco Mellia,et al.  Uncovering the Big Players of the Web , 2012, TMA.

[16]  Tobias Hoßfeld,et al.  Passive YouTube QoE Monitoring for ISPs , 2012, 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing.

[17]  Raimund Schatz,et al.  YouTube & Facebook Quality of Experience in mobile broadband networks , 2012, 2012 IEEE Globecom Workshops.

[18]  METHODS FOR SUBJECTIVE DETERMINATION OF TRANSMISSION QUALITY Summary , 2022 .

[19]  ITU-T Rec. P.910 (04/2008) Subjective video quality assessment methods for multimedia applications , 2009 .