简介:Inanactivenetwork,userscaninsertcustomizedactivecodesintoactivenodestoexecute.Thusitneedsmoreresourcesthanthoserequiredbyconventionalnetworks,andtheseresourcesmustbeeffectivelymonitoredandmanaged.ManagementpoliciesinexistingOSsaretoocomplicatedtoapplytosimpleactivepackets.Inthispaper,wepresentnewresourcesmanagementpoliciesthataremainlyadopedtomanageCPU,storageandtransmissionbandwidth.Namely,weuseSPFalgorithmtoscheduleandprocessactivepackets,andimportanintervalqueuemethodtoallocatetransmissionbandwidth,andusefeedbackmechanismtocontrolcongestion.Atthesametime,wedesignsomeexperimentsonprototypesystemswithandwithoutresourcesmanagementpoliciesrespectively.Theexperimentsresultsshowthatmanagementpoliciespresentedbyuscaneffectivelymanageresourcesinactivenodesandcanimprovetheperformanceofactivenetworks.
简介:AimingtoprovideameasurableserviceQualityofService(QoS)evaluatingmethodforserviceinventorymanagement,thispaperproposesanewmobileServiceUtilityModel(SUM),considerstheserviceandbusinesslayerelementsintotheserviceutilityinfluenceprofile,andproposesanself-adaptiveserviceinventorymanagementalgorithmasaQoScontrolschemebasedonSUM.ItcanbeconcludedfromthesimulationresultthattheserviceinventoryutilitycanbefullyreflectedbySUMandthewholesystemefficiencyisgreatlyincreasedbyusingSUMastheadaptiverule.
简介:ThispaperaddressesamanagementmodelforIPnetworkbasedonNextGenerationOperationSupportSystem(NGOSS).ItmakesthenetworkmanagementonthebaseofalltheoperationactionsofISP,ItprovidesQoStouserservicethroughthewholepathbyprovidingend-to-endServiceLevelAgreements(SLA)managementthroughwholepath.Basedonwebandcoordinationtechnology,thispapergivesanimplementarchitectureofthismodel.
简介:Inthispaper,atechnicalandstatisticalanalysisofsecuritysystemandsecuritymanagementisprovidedforcrowdenergyandsmartliving.Atthesametime,aclearunderstandingismadeforcrowdenergyconceptandnextgenerationsmartliving.Variouscaseexampleshavebeenstudiedandabriefsummaryhasbeenprovided.Furthermore,astatisticalanalysishasbeenprovidedintermsofsecuritymanagementinsmartlivingwhereitisfoundthatyoungtechnocratsgivethehighestimportancetosecuritymanagementinsmartliving.Lastbutnottheleast,currentlimitation,constraints,andfuturescopeofsecurityimplementationhavebeendiscussedintermsofcrowdenergyclusteredwithnextgenerationsmartliving.
简介:Thisarticlepresentsadatamanagementsolutionbasedonthedatadistributionservice(DDS)communicationmodel.ThebasicDDScommunicationmodelconsistsofaunidirectionaldataexchangewhereapplicationsthatpublishdata'push'therelevantdata,whichisupdatedtothelocalcachesofco-locatedsubscriberstothedata[1].DDShasnospecifiedcenternodetoforwarddatapacketsandmaintainthecommunicationdata.Thistypeofpublish-subscribe(P/S)modelpresentsintegrityandconsistencychallengesindatamanagement.Unlikepeer-to-peer(P2P)distributedstorage,DDSapplicationshaveahardreal-timeenvironmentandfewerdatafeatures,andthecoreproblemisensuringtheintegrityandconsistencyofdataindistributedsystemsunderthishardreal-timeenvironment.ThisarticlebeginswithabriefintroductionofthecommunicationmodelusedbyDDS,thenanalyzespersistentdatamanagementproblemscausedbysuchmodel,andprovidesanappropriatesolutiontotheseproblems.Thissolutionhasbeenimplementedinaprototypesystemofthereal-timeservicebus(RTSB)ofTsinghuaUniversity.
简介:ThepaperdescribesthevariousenergymanagementtechniquesthatcanbeimplementedforamodernelectricvehiclebyusingMATLAB/Simulink.TheRenaultTwizyvehicleisconsideredforMATLABsimulation.Regenerativebrakingtechniqueisdiscussed,inwhichthekineticenergyisconvertedtoelectricitytochargethebatteryofthevehiclewhenthebrakesareappliedorwhenthevehicleismovingdownthehill.Asolarphotovoltaic(PV)ontheroof-topofthevehicleisimplementedtochargethebatteryusedinthevehicle.Thesimulationresultsarehighlightedandenergymanagementstrategiesarepresented.Theresultsshowedthatthespeedcontrolofdirectcurrent(DC)motorduringthemotoringmodeandregenerativebrakingmodewassuccessfullyachievedbyusingabi-directionalDC-DCconverterandaproportional-integral(PI)controlleratvariousreferencespeedssetbytheuserbyapplyingavariableloadtorquestothemotor.ThesizeofsolarPVonroof-topofthevehiclewasfoundtobe280Wthatchargedthe48Vbatteryofthevehiclebyusingabi-directionalDC-DCconverter,whichwasevaluatedbyusingMATLAB/Simulink.
简介:Withthedevelopmentofsmartgrid,residentshavetheopportunitytoscheduletheirhouseholdappliances(HA)forthepurposeofreducingelectricityexpensesandalleviatingthepressureofthesmartgrid.Inthispaper,weintroducethestructureofhomeenergymanagementsystem(EMS)andthenproposeapoweroptimizationstrategybasedonhouseholdloadmodelandelectricvehicle(EV)modelforhomepowerusage.Inthisstrategy,theelectricvehiclesarechargedwhenthepriceislow,andotherwise,aredischarged.Byadoptingthiscombinedsystemmodelunderthetime-of-useelectricityprice(TOUP),theproposedschedulingstrategywouldeffectivelyminimizetheelectricitycostandreducethepressureofthesmartgridatthesametime.Finally,simulationexperimentsarecarriedouttoshowthefeasibilityoftheproposedstrategy.Theresultsshowthatcrossovergeneticparticleswarmoptimizationalgorithmhasbetterconvergencepropertiesthantraditionalparticleswarmalgorithmandbetteradaptabilitythangeneticalgorithm.
简介:Thebuildingsectoranditsheatingandcoolingrepresentoneofthemajorconsumerofenergyworldwide.Simultaneously,theshareoffluctuatinggenerationofrenewableenergiesintheenergymixincreases.Thereforestorageanddemandsidemanagementtechnologiesarerequired.Thenewadaptiveandpredictivecontrolalgorithmforthermallyactivatedbuildingsystems(TABS)basedonmultiplelinearregression(AMLR)presentedinthispaperenablestheapplicationofdemandsidemanagement(DSM)strategies.Basedonsimulations,differentstrategieshavebeencomparedwitheachother.ByapplyingtheAMLRalgorithm,electricityenergycostsavingsof38%couldbeachievedcomparedtotheconventionalcontrolstrategyforTABS,whileincreasingthethermalcomfort.Atthesametime,thermalenergydemandcanbereducedintherangebetween4%to8%,andpumpoperationtimefrom86%to89%.