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Conference Paper: Joint online transcoding and geo-distributed delivery for dynamic adaptive streaming
Title | Joint online transcoding and geo-distributed delivery for dynamic adaptive streaming |
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Authors | |
Issue Date | 2014 |
Publisher | IEEE 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? |
Abstract | Dynamic 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 Identifier | http://hdl.handle.net/10722/201092 |
ISBN | |
ISSN | 2023 SCImago Journal Rankings: 2.865 |
DC Field | Value | Language |
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dc.contributor.author | Wang, Z | en_US |
dc.contributor.author | Sun, L | en_US |
dc.contributor.author | Wu, C | en_US |
dc.contributor.author | Zhu, W | en_US |
dc.contributor.author | Yang, S | en_US |
dc.date.accessioned | 2014-08-21T07:13:32Z | - |
dc.date.available | 2014-08-21T07:13:32Z | - |
dc.date.issued | 2014 | en_US |
dc.identifier.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 | en_US |
dc.identifier.isbn | 978-14799-3360-0 | - |
dc.identifier.issn | 0743-166X | - |
dc.identifier.uri | http://hdl.handle.net/10722/201092 | - |
dc.description.abstract | Dynamic 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.language | eng | en_US |
dc.publisher | IEEE Computer Society. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000359 | - |
dc.relation.ispartof | IEEE Infocom Proceedings | en_US |
dc.title | Joint online transcoding and geo-distributed delivery for dynamic adaptive streaming | en_US |
dc.type | Conference_Paper | en_US |
dc.identifier.email | Wu, C: cwu@cs.hku.hk | en_US |
dc.identifier.authority | Wu, C=rp01397 | en_US |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/INFOCOM.2014.6847928 | - |
dc.identifier.scopus | eid_2-s2.0-84904429578 | - |
dc.identifier.hkuros | 232120 | en_US |
dc.identifier.spage | 91 | - |
dc.identifier.epage | 99 | - |
dc.publisher.place | United States | - |
dc.customcontrol.immutable | sml 140822 | - |
dc.identifier.issnl | 0743-166X | - |