SAP: Stall-aware pacing for improved DASH video experience in cellular networks

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dc.contributor.author Zahran, Ahmed H.
dc.contributor.author Quinlan, Jason J.
dc.contributor.author Ramakrishnan, K. K.
dc.contributor.author Sreenan, Cormac J.
dc.date.accessioned 2017-10-20T11:52:25Z
dc.date.available 2017-10-20T11:52:25Z
dc.date.issued 2017-06
dc.identifier.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 en
dc.identifier.startpage 13 en
dc.identifier.endpage 26 en
dc.identifier.isbn 978-1-4503-5002-0/17/06
dc.identifier.uri http://hdl.handle.net/10468/4924
dc.identifier.doi 10.1145/3083187.3083199
dc.description.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. en
dc.description.sponsorship National Science Foundation (NSF grant CNS-1619441) en
dc.description.uri http://mmsys17.iis.sinica.edu.tw/ en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Association for Computing Machinery (ACM) en
dc.rights © 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 en
dc.subject Adaptive bitrate video streaming en
dc.subject DASH en
dc.subject QoE en
dc.subject Separable programming en
dc.title SAP: Stall-aware pacing for improved DASH video experience in cellular networks en
dc.type Article (peer-reviewed) en
dc.type Conference item
dc.internal.authorcontactother Jason Quinlan, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: j.quinlan@cs.ucc.ie en
dc.internal.availability Full text available en
dc.description.version Accepted Version en
dc.internal.rssid 439892811
dc.contributor.funder Science Foundation Ireland en
dc.contributor.funder National Science Foundation en
dc.description.status Peer reviewed en
dc.identifier.journaltitle MMSys'17 Proceedings of the 8th ACM on Multimedia Systems Conference en
dc.internal.conferencelocation Taipei, Taiwan en
dc.internal.IRISemailaddress j.quinlan@cs.ucc.ie
dc.internal.IRISemailaddress c.sreenan@cs.ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/ en


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