Publication:
Combination load balancing for video-on-demand systems
Combination load balancing for video-on-demand systems
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 | 2021-11-25T12:47:02Z | |
dc.date.available | 2021-11-25T12:47:02Z | |
dc.date.issued | 2008 | en_US |
dc.description.abstract | We observe that an effect of disk resource sharing of multi-copy movie traffic has great impact on the blocking performance of a video-on-demand system. This observation leads us to establish a conjecture on how to balance the movie traffic load among combination groups of disks to maximize the level of disk resource sharing. For a given file replication instance, the conjecture predicts in general an effective lower bound on the blocking performance of the system. It motivates the design of a numerical index that measures quantitatively the goodness of disk resource sharing on allocation of multi-copy movie files. It also motivates the design of a greedy file allocation method that decides a good quality heuristic solution for each feasible file replication instance. We further develop analytical formulas to obtain approximate results for the bound fast and accurately. These techniques can be utilized by an optimization program to find near-optimal file assignment solutions for the system computationally efficiently. | en_US |
dc.identifier.issn | 1051-8215 | en_US |
dc.identifier.uri | http://hdl.handle.net/1959.4/37811 | |
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 | Control theory | en_US |
dc.subject.other | Disks (structural components | en_US |
dc.subject.other | Heuristic methods | en_US |
dc.subject.other | Internet | en_US |
dc.subject.other | Large scale systems | en_US |
dc.subject.other | Military data processing | en_US |
dc.subject.other | Motion pictures | en_US |
dc.subject.other | Solutions | en_US |
dc.subject.other | Video streaming | en_US |
dc.title | Combination load balancing for video-on-demand systems | 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/TCSVT.2008.924905 | en_US |
unsw.relation.faculty | Engineering | |
unsw.relation.ispartofissue | 7 | en_US |
unsw.relation.ispartofjournal | IEEE Transactions on Circuits and Systems for Video Technology | en_US |
unsw.relation.ispartofpagefrompageto | 937-948 | en_US |
unsw.relation.ispartofvolume | 18 | 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 | en_US |
unsw.relation.originalPublicationAffiliation | Taylor, Peter | 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 | * |
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