简介:Inthispaper,basedonant-algorithm,weproposeaQoSmulticastroutingschemeinInternet.Wefirstdescribeant-algorithmmodelandgiveant-networkmodel,thenpresentanapproachusingant-algorithmtooptimizethemulticastrouteswithQoSconstaints.Finally,simulationshasbeenmadetoshowtheefficiencyoftheapproachintheenvironmentofOPNETsimulationsoftware,andthesimulationresultsshowthattheproposedapproachcanfindthebestoptimalmulticastrouteswhichcansatisfythedelay-boundedrequirementandavoidcongestednodesassoonaspossible.
简介:Athresholdsettingschemeisproposedbasedontheresourcemanagementandlimitedfeedbacktheoryinmultiuserorthogonalfrequencydivisionmultiplexing(OFDM)systems.Inadaptiveresourceallocation,thefactorsdenotingthequalityofservice(QoS)andfairnessarebothconsideredastheuserweight.Fromtheaspectoffeedbackoutageprobability,theproposedalgorithmsetsthethresholdforeachuserrelatedtoitsweight,whichbringsenoughfeedbacktotheuserwithgreaterweight.Analysisandsimulationresultsshowthat,comparedwiththethresholdignoringweights,theproposedschemehasmuchlowerfeedbackloadwhilewithbetterQoS.
简介:ThemaingoalofroutingsolutionsistosatisfytherequirementsoftheQualityofService(QoS)foreveryadmittedconnectionaswellastoachieveaglobalefficiencyinresourceutilization.InthispaperproposesasolutionbasedonHopfieldneuralnetwork(HNN)todealwithoneofrepresentativeroutingproblemsinuni-castrouting,i.e.themulti-constrained(MC)routingproblem.ComputersimulationshowsthatwecanobtaintheoptimalpathveryrapidlywithournewLyapunovenergyfunctions.
简介:Theproblemofcloudcooperationofmilitaryserviceproviders(MSPs)isaddressedforallocatinglimitedresourcestomilitaryserviceusers(MSUs)thataregeographicallydistributed.TheMSPs,alsocalledmilitaryorganizationclouds,arevirtualizedandencapsulatedbytheservicestheycanofferandeachofthemcontainsdifferentkindsofresourcesthatMSUneeds.TheMSPsarealsogeographicallydispersed.TheyarerequiredtoallocatetheirresourcestotheMSUcomplyingwiththecorrespondingqualityofservice(QoS),sothateachMSUgatherstheservicesitneedstoguaranteeitstasktobeimplemented.TheoutlineofmilitaryorganizationcloudcooperationisdiscussedandthemethodofserviceoptimalselectionisproposedbasedonQoSevaluation.TheQoSevaluationmethodbasedonexponentialapproximationisputforwardtoincludetheusers’will.Simulationresultsverifytheeffectivenessoftheproposedalgorithm.
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简介:ToimproveuserexperienceofcompositeWebservices,auser-awarequalityofservice(QoS)basedWebservicescompositionmodelisproposed.Undersuchmodel,aWebservicesselectionmethodbasedonquantumgeneticalgorithmisproposed.Thisalgorithmusesquantumbitencoding,dynamicstep-lengthquantumgateangleadjustment,neighborhoodservicesearchanddynamicpunishmentstrategytoexpandsearchscopeandspeedupconvergence.SimulationexperimentshowsthatthisalgorithmismoreefficientthanotherexistingalgorithmsinWebservicesselection.