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一种使用协作预测的自组织网络故障检测方法（英文）.docx

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一种使用协作预测的自组织网络故障检测方法（英文） ACollaborativePrediction-BasedSelf-OrganizingNetworkFaultDetectionMethod Abstract: Networkfaultdetectionandpreventionhavebecomeessentialintoday'shighlyinterconnectedandreliantdigitalsystems.Traditionalnetworkfaultdetectionmethodsoftenrelyoncentralizedmonitoringsystems,whichmaynotbeefficientandmaylackscalability.Inthispaper,weproposeacollaborativeprediction-basedself-organizingnetworkfaultdetectionmethod.Themethodcombinesthepowerofself-organizingnetworksandcollaborativepredictiontechniquestoachieveefficientandeffectivefaultdetection.Wepresentthearchitectureandworkingprincipleoftheproposedmethod,alongwithexperimentalresultstodemonstrateitsefficacy.Ourfindingsindicatethatthecollaborativeprediction-basedself-organizingnetworkfaultdetectionmethodoutperformstraditionalcentralizedmonitoringsystemsintermsoffaultdetectionaccuracy,efficiency,andscalability. 1.Introduction: Withtheincreasingcomplexityandinterconnectednessofmoderndigitalsystems,networkfaultdetectionhasbecomeacriticaltaskinensuringsystemstabilityandperformance.Traditionalfaultdetectionmethodsrelyoncentralizedmonitoringsystems,whichhavecertainlimitationsintermsofscalabilityandefficiency.Incontrast,self-organizingnetworksandcollaborativepredictiontechniquesofferpromisingsolutionstoovercometheselimitations.Self-organizingnetworksarecapableofadaptingandevolvingbasedonlocalinteractions,whilecollaborativepredictiontechniquesleveragethecollectiveintelligenceofanetwork. 2.RelatedWork: Variousfaultdetectionmethodshavebeenproposedintheliterature,includingrule-basedapproaches,statisticaltechniques,andmachinelearningalgorithms.However,mostofthesemethodssufferfromthelimitationsofcentralizedmonitoringsystems.Self-organizingnetworkshaveshownpromiseinfaultdetection,astheycanadapttochangingnetworkconditionsinadistributedmanner.Collaborativepredictiontechniqueshavealsobeensuccessfullyappliedinvariousdomains,suchasrecommendationsystemsandcrowdforecasting.However,tothebestofourknowledge,nopreviousworkhasexp