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Client-side energy costs of video streaming
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dc.contributor.author | Ejembi, Oche | |
dc.contributor.author | Bhatti, Saleem N. | |
dc.contributor.editor | Chen, Jinjun | |
dc.contributor.editor | Yang, Laurence T | |
dc.date.accessioned | 2016-08-22T12:30:20Z | |
dc.date.available | 2016-08-22T12:30:20Z | |
dc.date.issued | 2016-02-04 | |
dc.identifier.citation | Ejembi , O & Bhatti , S N 2016 , Client-side energy costs of video streaming . in J Chen & L T Yang (eds) , Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems : 11–13 December 2015 Sydney, Australia . , 7396511 , Institute of Electrical and Electronics Engineers Inc. , pp. 252-259 , 2015 IEEE International Conference on Data Science and Data Intensive Systems; 8th IEEE International Conference Cyber, Physical and Social Computing; 11th IEEE International Conference on Green Computing and Communications and 8th IEEE International Conference on Internet of Things, DSDIS/CPSCom/GreenCom/iThings 2015 , Sydney , Australia , 11/12/15 . https://doi.org/10.1109/DSDIS.2015.49 | en |
dc.identifier.citation | conference | en |
dc.identifier.isbn | 9781509002146 | |
dc.identifier.other | PURE: 242609900 | |
dc.identifier.other | PURE UUID: 70d80075-c7ae-4a82-9b83-480941bbe384 | |
dc.identifier.other | Scopus: 84964438051 | |
dc.identifier.other | ORCID: /0000-0002-5566-9997/work/29827840 | |
dc.identifier.other | WOS: 000380414300038 | |
dc.identifier.uri | https://hdl.handle.net/10023/9353 | |
dc.description.abstract | Through measurements on our testbed, we show how users of Netflix could make energy savings of up to 34% by adjusting video quality settings. We estimate the impacts of these quality settings on the energy consumption of client systems and the network. If users exercise choice in their video streaming habits, over 100 GWh of energy a year could be saved on a global scale. We discuss how providing energy usage information to users of digital video could enable them to make choices of video settings to reduce energy usage, and we estimate savings on associated electricity costs and carbon emissions. | |
dc.format.extent | 8 | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
dc.relation.ispartof | Proceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systems | en |
dc.rights | Copyright © 2015 IEEE. This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://dx.doi.org/10.1109/DSDIS.2015.49 | en |
dc.subject | Energy efficiency | en |
dc.subject | Green ICT | en |
dc.subject | Green IT | en |
dc.subject | Quality of experience (QoE) | en |
dc.subject | Sustainability | en |
dc.subject | Video | en |
dc.subject | QA75 Electronic computers. Computer science | en |
dc.subject | TK Electrical engineering. Electronics Nuclear engineering | en |
dc.subject | Computational Theory and Mathematics | en |
dc.subject | Computer Networks and Communications | en |
dc.subject | Theoretical Computer Science | en |
dc.subject | NDAS | en |
dc.subject | BDC | en |
dc.subject | R2C | en |
dc.subject | ~DC~ | en |
dc.subject | SDG 7 - Affordable and Clean Energy | en |
dc.subject.lcc | QA75 | en |
dc.subject.lcc | TK | en |
dc.title | Client-side energy costs of video streaming | en |
dc.type | Conference item | en |
dc.contributor.sponsor | EPSRC | en |
dc.description.version | Postprint | en |
dc.contributor.institution | University of St Andrews. School of Computer Science | en |
dc.identifier.doi | https://doi.org/10.1109/DSDIS.2015.49 | |
dc.identifier.grantnumber | EP/J016756/1 | en |
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