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Conference Paper: Joint online transcoding and geo-distributed delivery for dynamic adaptive streaming

TitleJoint online transcoding and geo-distributed delivery for dynamic adaptive streaming
Authors
Issue Date2014
PublisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000359
Citation
The 33rd IEEE Conference on Computer Communications (IEEE INFOCOM 2014), Toronto, ON., 27 April-2 May 2014. In IEEE Infocom Proceedings, 2014, p. 91-99 How to Cite?
AbstractDynamic adaptive video streaming has emerged as a popular approach for video streaming in today's Internet. To date the two important components in dynamic adaptive streaming, video transcoding which generates the adaptive bitrates of a video and video delivery which streams the videos to users, have been separately studied, resulting in a huge waste of computation and storage resource due to transcoding useless videos and suboptimal streaming quality due to homogeneous video replication. In this paper, we propose to jointly perform video transcoding and video delivery for adaptive streaming in an online manner. We conduct extensive measurement studies of a video sharing system and a CDN to motivate our design. We formulate and solve optimization problems to enable high streaming quality for the users, and low computation and replication costs for the system. In particular, our design connects video transcoding and video delivery based on users' preferences of CDN regions and regional preferences of video versions. Extensive trace-driven experiments further confirm the superiority of our design. © 2014 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/201092
ISBN
ISSN

 

DC FieldValueLanguage
dc.contributor.authorWang, Zen_US
dc.contributor.authorSun, Len_US
dc.contributor.authorWu, Cen_US
dc.contributor.authorZhu, Wen_US
dc.contributor.authorYang, Sen_US
dc.date.accessioned2014-08-21T07:13:32Z-
dc.date.available2014-08-21T07:13:32Z-
dc.date.issued2014en_US
dc.identifier.citationThe 33rd IEEE Conference on Computer Communications (IEEE INFOCOM 2014), Toronto, ON., 27 April-2 May 2014. In IEEE Infocom Proceedings, 2014, p. 91-99en_US
dc.identifier.isbn978-14799-3360-0-
dc.identifier.issn0743-166X-
dc.identifier.urihttp://hdl.handle.net/10722/201092-
dc.description.abstractDynamic adaptive video streaming has emerged as a popular approach for video streaming in today's Internet. To date the two important components in dynamic adaptive streaming, video transcoding which generates the adaptive bitrates of a video and video delivery which streams the videos to users, have been separately studied, resulting in a huge waste of computation and storage resource due to transcoding useless videos and suboptimal streaming quality due to homogeneous video replication. In this paper, we propose to jointly perform video transcoding and video delivery for adaptive streaming in an online manner. We conduct extensive measurement studies of a video sharing system and a CDN to motivate our design. We formulate and solve optimization problems to enable high streaming quality for the users, and low computation and replication costs for the system. In particular, our design connects video transcoding and video delivery based on users' preferences of CDN regions and regional preferences of video versions. Extensive trace-driven experiments further confirm the superiority of our design. © 2014 IEEE.-
dc.languageengen_US
dc.publisherIEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000359-
dc.relation.ispartofIEEE Infocom Proceedingsen_US
dc.rightsIEEE Infocom. Proceedings. Copyright © IEEE Computer Society.-
dc.rights©2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleJoint online transcoding and geo-distributed delivery for dynamic adaptive streamingen_US
dc.typeConference_Paperen_US
dc.identifier.emailWu, C: cwu@cs.hku.hken_US
dc.identifier.authorityWu, C=rp01397en_US
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/INFOCOM.2014.6847928-
dc.identifier.scopuseid_2-s2.0-84904429578-
dc.identifier.hkuros232120en_US
dc.identifier.spage91-
dc.identifier.epage99-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 140822-

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