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1、78IEEESYSTEMSJOURNAL,VOL.3,NO.1,MARCH2009QGrid:AnAdaptiveTrustAwareResourceManagementFrameworkLiLinandJinpengHuai,Member,IEEEAbstract—RecentyearshavewitnessedtherapiddevelopmentTherehavebeenmanyattempts[4]–[6]thatapplypricingorofGridcomputingovertheInternet,whichpromisestoempowermicro-curren
2、cyapproacheswithaviewtodealingwithresourcehighlydesirableresourcesharingandcooperationamongdifferentincentive.Anodeearnsvirtualcurrencybysellingresources,organizations.However,thereremainsachallengingissuefacingwithwhichitcanbidforotherresources.However,theseap-Gridenvironments.Maliciousorse
3、lfishnodesconsumepreciousresourceswithoutcontributionoreventrytodestroythesystemproaches,whichonlyconsiderofferedbiddingprice,arenotintentionally.Thiscanseverelydegradethesystemperformanceabletofightagainstseveralmaliciousbehaviors.Forexample,andlimitthehealthydevelopmentofGridsystems.Toencour
4、ageamaliciousnodeconsumesresourcesbutdoesnotpayfortheresourcesharingandfightagainstmaliciousbehaviors,wepro-resourceoccupation;oritmayintentionallydestroythecom-poseanadaptiveresourcemanagementframeworkQGridwhichputingandinformationresourcesonaresourceprovider;oritintegratestrustfactorintoeco
5、nomic-drivenallocationprocess.Eachproviderallocatesresourcesaccordingtothebiddingpricemayoftenboastofhavingmoreresource,whichmakesgoodandthetrustvalueofarequesterbycontrollingthecorrespondingnodessuffereconomiclosses.Thesebehaviorscanseriouslythresholdofpriceandtrustvalue.Theincompleteinform
6、ationdiscourageresourcesharingamongdifferentnodes.isakeyissueforaproviderindeterminingthetwothresholds.Incontrast,therehavebeenalotofresearchefforts[7]–[10],WeemployaQ-learningtechniquetoresolvetheissue,whichwhichemploythenotionofreputationmanagementtodefendcanadapttothedynamicsofGridenviron
7、ments.Furthermore,weintroduceasimpleisolationschemetosecuretheGridsystemagainstadversarybehaviors.Bycontributingmorevaluablere-byfrustratingmaliciousparticipantsfromjoiningthesystem.sourcesandperformingmorebenignbehaviors,anodecangetAQGridprototype