Video Stalling Decision Method

Effectively improving the competitiveness of ISP has always been a hot topic in the field of communication research. Video as the main body of network traffic, providing video users with high satisfaction network services can enhance the user experience, and thus effectively improve the competitiveness of ISP. Some user behaviours will affect the detection of the stalling event. Therefore, this paper proposes a video stalling decision model based on the video stalling detection method based on HTTPS. The model mainly models the IP source, packet length, packet type, and basic information of the packet data. In the case of the unsolved HTTPS protocol, it can use the limited information to identify the user behaviour and perform the stalling detection, thereby reducing the misjudgement rate of the stalling detection.

[1]  Na Wang,et al.  Video stalling detection method , 2020 .

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

[3]  Lusheng Ji,et al.  Understanding the impact of network dynamics on mobile video user engagement , 2014, SIGMETRICS '14.

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

[5]  Liang Chen,et al.  Stalling Assessment for Wireless Online Video Streams via ISP Traffic Monitoring , 2017, 2017 IEEE Wireless Communications and Networking Conference (WCNC).

[6]  Yining Qi,et al.  The Effect of Frame Freezing and Frame Skipping on Video Quality , 2006, 2006 International Conference on Intelligent Information Hiding and Multimedia.

[7]  Peter Lambert,et al.  Assessing Quality of Experience of IPTV and Video on Demand Services in Real-Life Environments , 2010, IEEE Transactions on Broadcasting.

[8]  Filip De Turck,et al.  Network-based video freeze detection and prediction in HTTP adaptive streaming , 2017, Comput. Commun..

[9]  Koenraad Laevens,et al.  Session reconstruction for HTTP adaptive streaming: Laying the foundation for network-based QoE monitoring , 2012, 2012 IEEE 20th International Workshop on Quality of Service.

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

[11]  Tom Bostoen,et al.  Scalable network-based video-freeze detection for HTTP adaptive streaming , 2015, 2015 IEEE 23rd International Symposium on Quality of Service (IWQoS).