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dc.contributor.authorEjembi, Oche
dc.contributor.authorBhatti, Saleem N.
dc.contributor.editorChen, Jinjun
dc.contributor.editorYang, Laurence T
dc.date.accessioned2016-08-22T12:30:20Z
dc.date.available2016-08-22T12:30:20Z
dc.date.issued2016-02-01
dc.identifier.citationEjembi , 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.2015.49en
dc.identifier.citationconferenceen
dc.identifier.isbn9781509002146
dc.identifier.otherPURE: 242609900
dc.identifier.otherPURE UUID: 70d80075-c7ae-4a82-9b83-480941bbe384
dc.identifier.otherScopus: 84964438051
dc.identifier.otherORCID: /0000-0002-5566-9997/work/29827840
dc.identifier.urihttp://hdl.handle.net/10023/9353
dc.description.abstractThrough 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.extent8
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartofProceedings - 2015 IEEE International Conference on Data Science and Data Intensive Systemsen
dc.rights© 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 ieeexplore.ieee.org / https://dx.doi.org/10.1109/DSDIS.2015.49en
dc.subjectEnergy efficiencyen
dc.subjectGreen ICTen
dc.subjectGreen ITen
dc.subjectQuality of experience (QoE)en
dc.subjectSustainabilityen
dc.subjectVideoen
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subjectTK Electrical engineering. Electronics Nuclear engineeringen
dc.subjectComputational Theory and Mathematicsen
dc.subjectTheoretical Computer Scienceen
dc.subjectComputer Networks and Communicationsen
dc.subjectNDASen
dc.subject.lccQA75en
dc.subject.lccTKen
dc.titleClient-side energy costs of video streamingen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1109/DSDIS.2015.49


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