Evaluation and Comparison of QoE-Based Admission Control Solutions

The exponential growth of video traffic on the Internet calls for the deployment of network management strategies to enhance the quality experienced by the end-users (Quality of Experience - QoE). In this paper, we focus on admission control, in particular we survey two of the main Admission Control (AC) solutions, and we compare their efficiency and QoE-awareness when making admission decisions. We evaluate the solutions' performance by simulation, and compare them to the ideal QoE-based AC. The results show that only one of the investigated solutions can lead to satisfying decisions if it is properly tuned.

[1]  Yuming Jiang,et al.  Robustness study of MBAC algorithms , 2008, 2008 IEEE Symposium on Computers and Communications.

[2]  Tarik Taleb,et al.  QoS/QoE predictions-based admission control for femto communications , 2012, 2012 IEEE International Conference on Communications (ICC).

[3]  Edward W. Knightly,et al.  Measurement-based admission control with aggregate traffic envelopes , 2001, TNET.

[4]  S. Floyd Comments on Measurement-based Admissions Control for Controlled-Load Services , 1996 .

[5]  Ludovic Noirie,et al.  Evaluation and comparison of MBAC solutions , 2011, 2011 IEEE 36th Conference on Local Computer Networks.

[6]  Dragan Kukolj,et al.  A reduced-reference parametric model for audiovisual quality of IPTV services , 2013, 2013 Fifth International Workshop on Quality of Multimedia Experience (QoMEX).

[7]  Zhongwei Zhang,et al.  A Novel Traffic Rate Measurement Algorithm for Quality of Experience-Aware Video Admission Control , 2015, IEEE Transactions on Multimedia.

[8]  Doreid Ammar,et al.  QoE-driven admission control for video streams , 2015, 2015 6th International Conference on Information, Intelligence, Systems and Applications (IISA).

[9]  Martin Reisslein,et al.  MPEG-4 and H.263 video traces for network performance evaluation , 2001, IEEE Netw..

[10]  Ludovic Noirie,et al.  KBAC: Knowledge-Based Admission Control , 2012, 37th Annual IEEE Conference on Local Computer Networks.