SAP: Stall-aware pacing for improved DASH video experience in cellular networks
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Date
2017-06
Authors
Zahran, Ahmed H.
Quinlan, Jason J.
Ramakrishnan, K. K.
Sreenan, Cormac J.
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Journal ISSN
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Publisher
Association for Computing Machinery (ACM)
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Abstract
The dramatic growth of cellular video traffic represents a practical challenge for cellular network operators in providing a consistent streaming Quality of Experience (QoE) to their users. Satisfying this objective has so-far proved elusive, due to the inherent system complexities that degrade streaming performance, such as variability in both video bitrate and network conditions. In this paper, we present SAP as a DASH video traffic management solution that reduces playback stalls and seeks to maintain a consistent QoE for cellular users, even those with diverse channel conditions. SAP achieves this by leveraging both network and client state information to optimize the pacing of individual video flows. We extensively evaluate SAP performance using real video content and clients, operating over a simulated LTE network. We implement state-of-the-art client adaptation and traffic management strategies for direct comparison. Our results, using a heavily loaded base station, show that SAP reduces the number of stalls and the average stall duration per session by up to 95%. Additionally, SAP ensures that clients with good channel conditions do not dominate available wireless resources, evidenced by a reduction of up to 40% in the standard deviation of the QoE metric.
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Keywords
Adaptive bitrate video streaming , DASH , QoE , Separable programming
Citation
Zahran, A. H., Quinlan, J. J., Ramakrishnan, K. K. and Sreenan, C. J. (2017) 'SAP: Stall-Aware Pacing for Improved DASH Video Experience in Cellular Networks', MMSys'17 Proceedings of the 8th ACM on Multimedia Systems Conference, 20-23 June. Taipei, Taiwan. 3083199: ACM, pp. 13-26. isbn: 978-1-4503-5002-0/17/06
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© Owner/Author | ACM 2017. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MMSys'17 Proceedings of the 8th ACM on Multimedia Systems Conference, http://dx.doi.org/10.1145/3083187.3083199