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1、AbstractAbstractCloudcomputingisonekindofcalculationmodeswhichrealizestheaccessingtoasharedresourcepoolthroughtheInternet.Asoneofthecoretechnologiesofcloudcomputing,thepropertyoftheresourceschedulingstrategyaffectstheworkingperformanceandsystemstabilityofthecloudcomput
2、ingenvironmentdirectly.Consideringthecomplexandheterogeneouscloudcomputingenvironment,alotofproblemsexistinseveralresearchaspectsofcloudresourceschedulingsuchasloadbalancing,userservicequalityandsystemenergyconsumption.Inordertosolveaboveproblems,efficientalgorithmsofc
3、loudcomputingresourceschedulingshouldbeproducedtoscheduledatacenterresourcesrationally.Throughsuchalgorithms,thesystemperformancecanbeimproved,whilethequalityofserviceswouldbealsoenhanced.(1)In-depthanalysisofthecloudcomputingandthestructureoftheschedulingsystemarepres
4、ented.Deepresearchesareanalyzedinthreeaspectsofcloudcomputingresources:schedulingloadbalancing,customerservicequalityandsystemenergyconsumption.Atthesametime,otherrelevantalgorithmsarealsoanalyzedandcompared.(2)Withsufficientknowledgeofcloudcomputingtheoryandthecloudco
5、mputingresourceschedulingprocess,thisarticlecomparestheprincipleandimplementationprocessofthreeclassiccloudcomputingresourceschedulingalgorithms,suchasadvancedfirstschedulingalgorithm,fairschedulingalgorithmandcomputingpowerschedulingalgorithm.(3)Animprovedcloudcomputi
6、ngresourceschedulingalgorithmisproposedinthisarticle.Onthebasisofthehybridgeneticalgorithm,theperformanceevaluationfunctionofloadbalanceandthenumberofmigrationisanalyzed.Inviewoftheshortageofdifferenceofevaluationfunctionwithdifferentchromosomes,animprovedevaluationfun
7、ctionispresented.Throughincreasingtheoptimalperformancebetweenthedifferentchromosomes,theconvergenceofthealgorithmisimproved,whichshortensthetimeoftaskscheduling.(4)Inaddition,anevaluationfunctionofmemoryutilizationisgiveninthisarticle.Withcombinationofthememoryutiliza
8、tionandphysicalmachinenumber,theconvergenceoftheapplicationofhybridgeneticalgorithmtooptimizememoryutilizationincloud
