Publication:
Performance analysis of resource selection schemes for a large scale video-on-demand system

dc.contributor.author Guo, Jun en_US
dc.contributor.author Wong, Eric en_US
dc.contributor.author Chan, Sammy en_US
dc.contributor.author Taylor, Peter en_US
dc.contributor.author Zukerman, Moshe en_US
dc.contributor.author Tang, Kit-Sang en_US
dc.date.accessioned 2021-11-25T12:46:48Z
dc.date.available 2021-11-25T12:46:48Z
dc.date.issued 2008 en_US
dc.description.abstract The designers of a large scale video-on-demand system face an optimization problem of deciding how to assign movies to multiple disks (servers) such that the request blocking probability is minimized subject to capacity constraints. To solve this problem, it is essential to develop scalable and accurate analytical means to evaluate the blocking performance of the system for a given file assignment. The performance analysis is made more complicated by the fact that the request blocking probability depends also on how disks are selected to serve user requests for multicopy movies. In this paper, we analyze several efficient resource selection schemes. Numerical results demonstrate that our analysis is scalable and sufficiently accurate to support the task of file assignment optimization in such a system. © 2008 IEEE. en_US
dc.identifier.issn 1520-9210 en_US
dc.identifier.uri http://hdl.handle.net/1959.4/37699
dc.language English
dc.language.iso EN en_US
dc.rights CC BY-NC-ND 3.0 en_US
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/3.0/au/ en_US
dc.source Legacy MARC en_US
dc.subject.other Video on demand en_US
dc.subject.other Blocking probability en_US
dc.subject.other Computer simulation en_US
dc.subject.other Multiple access interference en_US
dc.subject.other Problem solving en_US
dc.subject.other Scalability en_US
dc.title Performance analysis of resource selection schemes for a large scale video-on-demand system en_US
dc.type Journal Article en
dcterms.accessRights open access
dspace.entity.type Publication en_US
unsw.accessRights.uri https://purl.org/coar/access_right/c_abf2
unsw.description.publisherStatement ©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. en_US
unsw.identifier.doiPublisher http://dx.doi.org/10.1109/TMM.2007.911281 en_US
unsw.relation.faculty Engineering
unsw.relation.faculty Medicine & Health
unsw.relation.faculty Science
unsw.relation.ispartofissue 1 en_US
unsw.relation.ispartofjournal IEEE Transactions on Multimedia en_US
unsw.relation.ispartofpagefrompageto 153-159 en_US
unsw.relation.ispartofvolume 10 en_US
unsw.relation.originalPublicationAffiliation Guo, Jun, Computer Science & Engineering, Faculty of Engineering, UNSW en_US
unsw.relation.originalPublicationAffiliation Wong, Eric en_US
unsw.relation.originalPublicationAffiliation Chan, Sammy, Materials Science & Engineering, Faculty of Science, UNSW en_US
unsw.relation.originalPublicationAffiliation Taylor, Peter, Faculty of Medicine, UNSW en_US
unsw.relation.originalPublicationAffiliation Zukerman, Moshe en_US
unsw.relation.originalPublicationAffiliation Tang, Kit-Sang en_US
unsw.relation.school School of Computer Science and Engineering *
unsw.relation.school School of Materials Science & Engineering *
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