VIDEO AND WEB SERVICE QUALITY MONITORING USING ITU-T STANDARDS AT - - PowerPoint PPT Presentation

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VIDEO AND WEB SERVICE QUALITY MONITORING USING ITU-T STANDARDS AT - - PowerPoint PPT Presentation

VIDEO AND WEB SERVICE QUALITY MONITORING USING ITU-T STANDARDS AT DEUTSCHE TELEKOM Werner Robitza 1 , Bernhard Feiten 2 , Alexander Raake 1 , Ulf Wstenhagen 2 , Peter List 2 , Steve Gring 1 , Rakesh Rao 1 1 Technische Universitt Ilmenau, 2


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VIDEO AND WEB SERVICE QUALITY MONITORING USING ITU-T STANDARDS AT DEUTSCHE TELEKOM

Werner Robitza1, Bernhard Feiten2, Alexander Raake1, Ulf Wüstenhagen2, Peter List2, Steve Göring1, Rakesh Rao1

1Technische Universität Ilmenau, 2 Deutsche Telekom AG

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… make this provable, tangible and understandable for millions of customers. GLOBALLY, IP VIDEO TRAFFIC WILL BE 82 PERCENT OF ALL CONSUMER INTERNET TRAFFIC BY 2021

WHITE PAPER: CISCO, “VNI FORECAST AND METHODOLOGY, 2016-2021”

DEUTSCHE TELEKOM — WE HAVE THE BEST NETWORK

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FROM KPI TO KQI, QOS TO QOE

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  • S. Moeller and A. Raake, Quality of Experience:

Advanced Concepts, Applications and

  • Methods. Springer, 2014

Service Design Quality Elements Key Performance Indicators (KPIs) Quality of Service Service Perception Quality Features Key Quality Indicators (KQIs) Quality of Experience

User perspective: Provider perspective:

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https://youtube.googleblog.com

HTTP Adaptive Streaming (HAS) as the leading technology for video streaming today. QoE may be degraded due to:

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Inaccessible services

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Initial loading delays, stalling events

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Reduced video resolution / quality switching

Bitrate / quality level

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Initial loading delay Stalling Quality switches

TECHNOLOGY

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ARCHITECTURE

ITU-T RECOMMENDATION P.1203 (2017)

§ First standardized QoE model for HAS § Predicts Mean Opinion Scores for sequences up to 5 min length

Quality Parameter Exctraction Integral Quality Audio Quality Module Integration Module Video Quality Module Stalling Impact Audiovisual Integration A/V Quality Stalling Quality

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EXTERNAL VALIDATION OF P.1203 PERFORMANCE

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YT, Vimeo, Amazon Prime, DASH Network Emulator Network Traces P.1203 (Modes 0, 1) Subjective ratings Performance

  • S. Satti, et al., P. 1203 evaluation of real OTT video services, QoMEX 2017
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CLIENT-CENTRIC QOE MONITORING

COMPLEMENTING NETWORK-CENTRIC MONITORING

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MULTI-SERVICE QUALITY MONITORING SYSTEM (MSQMS)

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Distributed quality monitoring system

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Fully automated probes across Germany

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Measure video streams and website calls, directly from the browser, like a customer would do

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Different KPIs and KQIs measured:

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DNS times, ping

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Upload and download speed tests

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Video loading times

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Video quality according to P.1203

… and many more

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EXAMPLE CASE: QOE OF VIDEO STREAMS

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Monitoring of different video providers over the period of several days MOS Different baseline for MOS due to player/window size or maximum delivered video resolution

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PLANNING NETWORK CAPACITY … WITH QOE IN MIND

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PREDICTING YOUTUBE QOE FROM DOWNLOAD SPEEDS

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What is the customer’s video QoE for a given bandwidth?

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Not universally answerable!

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Depends on the service / technology, client device, …

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Example case: YouTube streaming to desktop clients

  • W. Robitza et al., Measuring YouTube QoE with ITU-T P.1203 under Constrained Bandwidth Conditions,

QoE Management Workshop at QoMEX 2018

TEST ARCHITECTURE

P.1203 QoE Test PC Logs Traffic Shaper Measurement Add-on for Chrome Video bitstreams

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EXAMPLE: VIDEO CHUNKS AS A FUNCTION OF DOWNLOAD SPEED

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0% 25% 50% 75% 100% 256 384 512 768 1024 1536 2048 3072 4096 8192 16384 37499

Download Resolution

hd1080 hd720 large medium small tiny

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YOUTUBE QOE AS A FUNCTION OF DOWNLOAD SPEED

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CONCLUSION AND OUTLOOK

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CONCLUSION AND FUTURE WORK

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Deutsche Telekom as a leading provider in Germany

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QoE as an important measure for network quality

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Development of QoE metrics like P.1203

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Focus on QoE in monitoring systems:

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Client-centric monitoring as complement to network-centric solutions

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Predicting QoE from network parameters

OUTLOOK

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ITU competition P.NATS Phase 2 / AVHD-AS: New models for 4K/UHD and new codecs

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Monitoring of encrypted video streams – predicting QoE from network-centric monitoring systems

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THANK YOU!

Acknowledgements for their supporting work: Dhananjay Kittur (BTH Sweden), Alexander Dethof (TU Berlin), Marie-Neige Garcia (TU Berlin), and the colleagues in ITU-T Study Group 12, Q14 for jointly developing the P.1203 recommendation.

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