Server load prediction algorithm based on CM-MC for cloud systems-中国期刊网

摘要 Accuratepredictionofserverloadisimportanttocloudsystemsforimprovingtheresourceutilization,reducingtheenergyconsumptionandguaranteeingthequalityofservice(QoS).Thispaperanalyzesthefeaturesofcloudserverloadandtheadvantagesanddisadvantagesoftypicalserverloadpredictionalgorithms,integratesthecloudmodel(CM)andtheMarkovchain(MC)togethertorealizeanewCM-MCalgorithm,andthenproposesanewserverloadpredictionalgorithmbasedonCM-MCforcloudsystems.Thealgorithmutilizesthehistoricaldatasampletrainingmethodofthecloudmodel,andutilizestheMarkovpredictiontheorytoobtainthemembershipdegreevector,basedonwhichtheweightedsumofthepredictedvaluesisusedforthecloudmodel.Theexperimentsshowthattheproposedpredictionalgorithmhashigherpredictionaccuracythanothertypicalserverloadpredictionalgorithms,especiallyifthedatahassignificantvolatility.TheproposedserverloadpredictionalgorithmbasedonCM-MCissuitableforcloudsystems,andcanhelptoreducetheenergyconsumptionofclouddatacenters.

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Server load prediction algorithm based on CM-MC for cloud systems

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Server load prediction algorithm based on CM-MC for cloud systems

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