Metrics for Adaptive Video Streaming

Metrics can be divided into user-level and network-level groups.

• User-level Fairness Delivered: Network Resource Allocation for Adaptive Video Streaming [1]
• They used three metrics: video quality, switching impact, and network cost (or utility)
• They solved the problem just based on video quality metrics, and then adjusted the results based on a weighted average of the three metrics.
• They considered that clients might have devices with varying resolutions, but didn't consider that the representations on the server might also have different resolutions.
• To simulate wireless conditioned they randomly changed the available bandwidth between 500 kbps and 8 Mbps.
• In switching impact metric, they considered forgiveness effect [2][3][4].
• To implement fairness, they minimized the Relative Standard Deviation (RSD) of the metrics.  
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References

[1] Mu, Mu, et al. "User-level fairness delivered: network resource allocation for adaptive video streaming." 2015 IEEE 23rd International Symposium on Quality of Service (IWQoS). IEEE, 2015.

[2] Z. Liu, Y. Shen, K. W. Ross, S. S. Panwar, and Y. Wang. Layerp2p: Using layered video chunks in p2p live streaming. IEEE Transactions on Multimedia, 11(7):1340–1352, 2009.

[3] V. Seferidis, M. Ghanbari, and D. Pearson. Forgiveness effect in subjective assessment of packet video. Electronics Letters, 28(21):2013–2014, 1992.

[4] D. Hands. Temporal characterization of forgiveness effect. Electronics Letters, 37, 2002.