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dc.contributor.authorTang, Yayuan
dc.contributor.authorWang, Hao
dc.contributor.authorGuo, Kehua
dc.contributor.authorLuo, Tao
dc.contributor.authorChi, Tao
dc.date.accessioned2019-07-26T07:22:16Z
dc.date.available2019-07-26T07:22:16Z
dc.date.created2019-07-24T12:26:13Z
dc.date.issued2019
dc.identifier.citationConcurrency and computation. 2019nb_NO
dc.identifier.issn1532-0626
dc.identifier.urihttp://hdl.handle.net/11250/2606498
dc.description.abstractWith the advent of the Internet of things era, cloud computing platforms will face the challenges of massive equipment requirements for access, massive data, insufficient bandwidth, and high power consumption. Edge computing, as a new technology, makes it possible to stream media over the edge network. However, many problems related to file sharing among edge nodes and to the files provided by cloud servers exist. We propose a novel replica placement strategy for mobile media streaming in edge computing (RPME) to address the aforementioned problem. First, we introduce a multilevel replica placement model in the RPME. In the RPME, we acquire the user information and the user‐item rating matrix when the user requests the media data. At the server, we cluster the users according the user information, update the user‐item rating matrix, and then generate a replica recommendation sequence. For when the server submits the replica recommendation sequence to the edge node considering the constraints of the edge node storage capacity and the limitations on the service capacity of the requested replica, we propose an effective replica placement mechanism in the RPME. To show the benefits of the RPME, we also present several experiments to prove its validity.nb_NO
dc.language.isoengnb_NO
dc.publisherWileynb_NO
dc.titleA new replica placement mechanism for mobile media streaming in edge computingnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.journalConcurrency and Computationnb_NO
dc.identifier.doi10.1002/cpe.5361
dc.identifier.cristin1712580
dc.description.localcodeLocked until 2 July 2020 due to copyright restrictions. This is the peer reviewed version of an article, which has been published in final form at https://doi.org/10.1002/cpe.5361. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode2


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