A Deep Learning Solution for Multimedia Conference System Assisted by Cloud Computing

Withthedevelopmentofinformationtechnology,moreandmorepeopleusemultimediaconference system to communicate orwork across regions. In this article, anultra-reliable and low-latency solution based on Deep Learning and assisted by Cloud Computing for multimedia conference system, called UCCMCS, is designed and implemented. In UCCMCS, there are two-tiers in its datadistributionstructurewhichcombinestheadvantagesofcloudcomputing.Andaccordingto therequirementsofultra-reliabilityandlow-latency,abandwidthoptimizationmodelisproposed toimprovethetransmissionefficiencyofmultimediadatasoastoreducethedelayofthesystem. Inordertoimprovethereliabilityofdatadistribution,thehelpofcloudcomputingnodeisusedto carryouttheretransmissionoflostdata.theexperimentalresultsshowUCCMCScouldimprovethe reliabilityandreducethelatencyofthemultimediadatadistributioninmultimediaconferencesystem. KEyWoRDS Cloud Computing, Deep Learning, Multimedia Conference, UCCMCS

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