基于任务行为-分析的功耗优化机制

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1、AbstractABSTRACTWiththeemergenceofmulti-colearchitectureandrapidpromotionofcpufrequency,thepowerconsumptionthusoccurredgainsmoleandmoreattention．Standbytimehasbecomeamajorcriterionforsmartphone．Ateachleveloftop．downpoweroptimizationdesign，OSlevelpoweroptimizationhaswidercontrollablerange、short

2、erdesigncycleandlessinfluenceonsystemperformance，whichisthereasonwhywefocusonit。However,traditionalmethodsrarelyfocusonthefundamentalfactorwhichistherunningtask,andineffectivepredictiontosystemloadisbecomingthebottleneckoftraditionalmethods．Thispaperstartedwithinvestigatingtaskbehavior,analyze

3、dthecorrelationbetweentaskbehaviorandthepowerconsumptionofthesystem．Thenweextractedcriticalinformationwhichcanbeusedtopredictsystemloadofthenextstagefromtaskinformation．Finally’combinedcriticalinformationwithpoweroptimizationtechniquesalreadyexistedanddynamichardwarecontroltorealizepoweroptimi

4、zation．Inthethesis，Ihaveinvestigatedexistinglowpowermanagementtechniques，suchasdynamicvoltageandfrequencyscaling，partialarrayselfrefresh，dynamicpowermanagementandlowpowercompilertechniquesetc．Besides，byanalyzingthedetailedimplementationinOperatingSystem，wediscoveredthedeficienciesofcurrentpowe

5、rmanagement．Thenweproposedanovdpoweroptimizationpolicywhichisbasedontaskbehavioranalysis．Themainresearchworkinthethesisinclude：1．SurveyedcurrentresearchachievementsandstatusforpoweroptimizationJanalyzedtheimplementationindetailofpowermanagementinIinuxkernelandpointedouttheparswhichshouldbeimpr

6、oved．2．Investigatedthemainmeansoftaskbehavioranalysisandtherelationbetweenbehaviorandsystempowerconsumption．introducedthemotivationforpoweroptimizationbasedontaskbehaviorandprovedthefeasibilitybyreplicationexperiment．3．Analyzedtaskbehavioroncpuandt／Odevices．Besides，weextractedthecriticalinform

7、ationwhichcanbeusedtopredicttaskloadinthefollowingstage，andconstructthetaskbehaviorfeatureIibrary．4．AppliedfeaturelibrarytoOSlevelpoweroptimizationsuchasDVFSandIIIAbstractDPM，confirmthecorrectnessbyexperimentaldata．5．Appliedtaskbehavior