ARBITER+: Adaptive Rate-Based InTElligent HTTP StReaming Algorithm for Mobile Networks

Simple item page
dc.contributor.authorZahran, Ahmed H.
dc.contributor.authorRaca, Darijo
dc.contributor.authorSreenan, Cormac J.
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2018-04-24T14:23:21Z
dc.date.available2018-04-24T14:23:21Z
dc.date.issued2018
dc.date.updated2018-04-23T15:09:41Z
dc.description.abstractDynamic adaptive streaming over HTTP (DASH) is widely adopted for video transport by major content providers. However, the inherent high variability in both encoded video and network rates represents a key challenge for designing efficient adaptation algorithms. Accommodating such variability in the adaptation logic design is essential for achieving a high user quality of Experience (QoE). In this paper, we present ARBITER+ as a novel adaptation algorithm for DASH. ARBITER+ integrates different components that are designed to ensure a high video QoE while accommodating inherent system variabilities. These components include a tunable adaptive target rate estimator, hybrid throughput sampling, controlled switching, and short-term actual video rate tracking. We extensively evaluate the streaming performance using real video and cellular network traces. We show that ARBITER+ components work in harmony to balance temporal and visual QoE aspects. Additionally, we show that ARBITER+ enjoys a noticeable QoE margin in comparison to state-of-the-art adaptation approaches in various operating conditions. Furthermore, we show that ARBITER+ also achieves the best application-level fairness when a group of mobile video clients share a cellular base station.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationZahran, A. H., Raca, D. and Sreenan, C. J. (2018) 'ARBITER+: Adaptive Rate-Based InTElligent HTTP StReaming Algorithm for Mobile Networks', IEEE Transactions on Mobile Computing, 17(12), pp. 2716-2728. doi:10.1109/TMC.2018.2825384en
dc.identifier.doi10.1109/TMC.2018.2825384
dc.identifier.endpage2728en
dc.identifier.issn1536-1233
dc.identifier.journaltitleIEEE Transactions On Mobile Computingen
dc.identifier.startpage2716en
dc.identifier.urihttps://hdl.handle.net/10468/5866
dc.identifier.volume17
dc.language.isoenen
dc.publisherIEEEen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Investigator Programme/13/IA/1892/IE/An Internet Infrastructure for Video Streaming Optimisation (iVID)/
dc.relation.urihttps://ieeexplore.ieee.org/document/8334618/
dc.rights© 2018 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.subjectEstimationen
dc.subjectQuality assessmenten
dc.subjectQuality of experienceen
dc.subjectStreaming mediaen
dc.subjectThroughputen
dc.subjectVideo recordingen
dc.subjectVisualizationen
dc.subjectAdaptive video streamingen
dc.subjectDASHen
dc.subjectQuality of Experience (QoE)en
dc.subjectFairnessen
dc.subjectThroughput estimationen
dc.subjectThroughput samplingen
dc.subjectWireless networksen
dc.titleARBITER+: Adaptive Rate-Based InTElligent HTTP StReaming Algorithm for Mobile Networksen
dc.typeArticle (peer-reviewed)en
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
5835_ARBITER+ Final.pdf
Size:
1.63 MB
Format:
Adobe Portable Document Format
Description:
Accepted version
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
2.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Computer Science - Journal Articles