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dc.contributor.authorOliver, Iain Angus
dc.contributor.authorMiller, Alan Henry David
dc.contributor.authorAllison, Colin
dc.contributor.editorFeng, Wu-chi
dc.contributor.editorMayer-Patel, Ketan
dc.date.accessioned2014-02-14T22:31:04Z
dc.date.available2014-02-14T22:31:04Z
dc.date.issued2010
dc.identifier.citationOliver , I A , Miller , A H D & Allison , C 2010 , Virtual worlds, real traffic : interaction and adaptation . in W Feng & K Mayer-Patel (eds) , MMSys '10 : Proceedings of the first annual ACM SIGMM conference on Multimedia Systems . ACM , pp. 305-316 . https://doi.org/10.1145/1730836.1730873en
dc.identifier.isbn978-1-60558-914-5
dc.identifier.otherPURE: 15898010
dc.identifier.otherPURE UUID: 4afad6ac-8edf-49d5-893b-bcc106e9cbcf
dc.identifier.otherBibtex: urn:5cc66bb9deb5509ea868ae32fc4dfd8e
dc.identifier.otherScopus: 77951277543
dc.identifier.urihttp://hdl.handle.net/10023/4448
dc.descriptionProceeding MMSys '10 Proceedings of the first annual ACM SIGMM conference on Multimedia systemsen
dc.description.abstractMetaverses such as Second Life (SL) are a relatively new type of Internet application. Their functionality is similar to online 3D games but differs in that users are able to construct the environment their avatars inhabit and are not constrained by predefined goals. From the network perspective metaverses are similar to games in that timeliness is important but differ in that their traffic is much less regular and requires more bandwidth This paper contributes to our understanding of metaverse traffic by validating previous studies and offering new insights. In particular we analyse the relationships between application functionality, SL's traffic control system and the wider network environment. Two sets of studies have been carried out: one of the traffic generated by a hands-on workshop which used SL; and a follow up set of controlled experiments to clarify some of the findings from the first study. The interplay between network latency, SL's traffic throttle settings, avatar density, and the errors in the client's estimation of avatar positions are demonstrated. These insights are of particular interest to those designing traffic management schemes for metaverses and help explain some of the oddities in the current user experience.
dc.format.extent12
dc.language.isoeng
dc.publisherACM
dc.relation.ispartofMMSys '10en
dc.rights© ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in MMSys '10 Proceedings, available from http://dl.acm.orgen
dc.subjectMulti mediaen
dc.subjectQoSen
dc.subjectVirtual Worldsen
dc.subjectTraffic measurementen
dc.subjectQA76 Computer softwareen
dc.subject.lccQA76en
dc.titleVirtual worlds, real traffic : interaction and adaptationen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews.School of Computer Scienceen
dc.identifier.doihttps://doi.org/10.1145/1730836.1730873
dc.identifier.urlhttp://doi.acm.org/10.1145/1730836.1730873en


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