ARBITER: Adaptive rate-based intelligent HTTP streaming algorithm

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dc.contributor.author Zahran, Ahmed H.
dc.contributor.author Sreenan, Cormac J.
dc.date.accessioned 2017-10-27T13:50:41Z
dc.date.available 2017-10-27T13:50:41Z
dc.date.issued 2016-07
dc.identifier.citation Zahran, A. H. and Sreenan, C. J. (2016) 'ARBITER: Adaptive rate-based intelligent HTTP streaming algorithm', 2016 IEEE International Conference on Multimedia and Expo Workshop (ICMEW), 11-15 July, Seattle, WA, USA. doi: 10.1109/ICMEW.2016.7574709 en
dc.identifier.startpage 1 en
dc.identifier.endpage 6 en
dc.identifier.isbn 978-1-5090-1552-8
dc.identifier.uri http://hdl.handle.net/10468/4935
dc.identifier.doi 10.1109/ICMEW.2016.7574709
dc.description.abstract Dynamic Adaptive streaming over HTTP (DASH) is widely used by content providers for video delivery and dominates traffic on cellular networks. The inherent variability in both video bitrate and network bandwidth negatively impacts the user Quality of Experience (QoE), motivating the design of better DASH-compliant adaptation algorithms. In this paper we present ARBITER, a novel streaming adaptation algorithm that explicitly integrates the variations in both video and network dynamics in its adaptation decisions. Our simulation-based performance evaluation, using real video content and cellular bandwidth traces, shows that ARBITER achieves an excellent tradeoff among streaming metrics in terms of received video quality, stall count, stall duration, and switching dynamics, leading to a relative improvement of 17-45% in user QoE in comparison to state-of-the-art algorithms. en
dc.description.uri http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7569794 en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher IEEE
dc.relation.ispartof 2016 IEEE International Conference on Multimedia and Expo Workshop, ICMEW 2016
dc.rights © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. en
dc.subject Bandwidth en
dc.subject HTTP en
dc.subject Video streaming en
dc.subject Adaptation algorithms en
dc.subject Adaptation decisions en
dc.subject Content providers en
dc.subject Dynamic Adaptive Streaming over HTTP en
dc.subject Inherent variability en
dc.subject Quality of experience (QoE) en
dc.subject State-of-the-art algorithms en
dc.subject Switching dynamics en
dc.subject Quality of service en
dc.title ARBITER: Adaptive rate-based intelligent HTTP streaming algorithm en
dc.type Article (peer-reviewed) en
dc.type Conference item en
dc.internal.authorcontactother Ahmed Zahran, Computer Science, University College Cork, Cork, Ireland. +353-21-490-3000 Email: ahmed.zahran@ucc.ie en
dc.internal.availability Full text available en
dc.date.updated 2017-10-27T13:43:08Z
dc.description.version Accepted Version en
dc.internal.rssid 416504847
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle IEEE International Conference on Multimedia and Expo Workshop (ICMEW) en
dc.internal.copyrightchecked No !!CORA!! en
dc.internal.licenseacceptance Yes en
dc.internal.IRISemailaddress ahmed.zahran@ucc.ie en
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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