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dc.contributor.authorCLEGG, Ren_US
dc.contributor.authorLanda, Ren_US
dc.contributor.authorGriffin, Den_US
dc.contributor.authorRio, Men_US
dc.contributor.authorHughes, Pen_US
dc.contributor.authorKegel, Ien_US
dc.contributor.authorStevens, Ten_US
dc.contributor.authorPietzuch, Pen_US
dc.contributor.authorWilliams, Den_US
dc.date.accessioned2017-03-10T10:37:16Z
dc.date.available2017-03-03en_US
dc.date.issued2017-03-09en_US
dc.date.submitted2017-03-07T18:46:54.533Z
dc.identifier.issn2168-7161en_US
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/19828
dc.description.abstractMulti-user video conferencing is a ubiquitous technology. Increasingly end-hosts in a conference are assisted by cloud-based servers that improve the quality of experience for end users. This paper evaluates the impact of strategies for placement of such servers on user experience and deployment cost. We consider scenarios based upon the Amazon~EC2 infrastructure as well as future scenarios in which cloud instances can be located at a larger number of possible sites across the planet. We compare a number of possible strategies for choosing which cloud locations should host services and how traffic should route through them. Our study is driven by real data to create demand scenarios with realistic geographical user distributions and diurnal behaviour. We conclude that on the EC2 infrastructure a well chosen static selection of servers performs well but as more cloud locations are available a dynamic choice of servers becomes important.en_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.ispartofIEEE Transactions on Cloud Computingen_US
dc.titleFaces in the Clouds: Long-Duration, Multi-User, Cloud-Assisted Video Conferencingen_US
dc.typeArticle
dc.rights.holder© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
pubs.notesNo embargoen_US
pubs.notesThe system will not let me upload the file.en_US
pubs.organisational-group/Queen Mary University of London
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering
pubs.organisational-group/Queen Mary University of London/Faculty of Science & Engineering/Electronic Engineering and Computer Science - Staff
pubs.publication-statusPublisheden_US
dcterms.dateAccepted2017-03-03en_US


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