Show simple item record

dc.contributor.authorAl-Issa, AE
dc.contributor.authorBentaleb, A
dc.contributor.authorZinner, T
dc.contributor.authorMkwawa, Is-Haka
dc.contributor.authorGhita, B
dc.contributor.editorGalis A
dc.contributor.editorGuillemin F
dc.contributor.editorNoldus R
dc.contributor.editorSecci S
dc.contributor.editorIdzikowski F
dc.contributor.editorSayit MF
dc.date.accessioned2021-05-18T13:06:19Z
dc.date.available2021-05-18T13:06:19Z
dc.date.issued2019-02
dc.identifier.isbn9781538683361
dc.identifier.issn2472-8144
dc.identifier.urihttp://hdl.handle.net/10026.1/17150
dc.description.abstract

The increase in video traffic and the end-user demands for high-quality videos have triggered academia and industry to find novel mechanisms for media distribution. Among the available streaming services, HTTP adaptive streaming (HAS) is being the de facto standard for multi-bitrate streaming. Recent studies show that the bitrate adaptation of client-driven HAS applications is challenging due to the fact that they are based on locally taken decisions for adapting the quality of the received video. Software-defined networking (SDN) has emerged as a new network paradigm to provide centralised management. The programmability and flexibility of SDN can be utilised to enhance the delivery of video over the Internet. In this paper, we present a novel and scalable network-assisted approach (denoted BBGDASH) that identifies the boundary range of the requested bitrate levels while preserving the final quality adaptation at the client. Experimental results demonstrate the potential of the proposed approach for delivering the video over SDN-enabled networks.

dc.format.extent307-314
dc.language.isoen
dc.publisherIEEE
dc.subjectSDN
dc.subjectQoE
dc.subjectDASH
dc.subjectFairness
dc.subjectOpenFlow
dc.subjectStability
dc.subjectAdaptive Video Streaming
dc.subjectStreaming architecture
dc.subjectBounded Bitrate Guidance
dc.subjectNetwork-Assistance
dc.titleBBGDASH: A Max-Min Bounded Bitrate Guidance for SDN Enabled Adaptive Video Streaming
dc.typeconference
dc.typeConference Proceeding
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000469794500052&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.date-start2019-02-19
plymouth.date-finish2019-02-21
plymouth.volume00
plymouth.publisher-urlhttps://ieeexplore.ieee.org/xpl/conhome/8681059/proceeding
plymouth.conference-name2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)
plymouth.publication-statusPublished
plymouth.journal2019 22nd Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)
dc.identifier.doi10.1109/icin.2019.8685894
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
plymouth.organisational-group/Plymouth/Users by role
plymouth.organisational-group/Plymouth/Users by role/Academics
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.1109/icin.2019.8685894
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.typeConference Paper/Proceeding/Abstract


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record


All items in PEARL are protected by copyright law.
Author manuscripts deposited to comply with open access mandates are made available in accordance with publisher policies. Please cite only the published version using the details provided on the item record or document. In the absence of an open licence (e.g. Creative Commons), permissions for further reuse of content should be sought from the publisher or author.
Theme by 
Atmire NV