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一种基于加权公平队列调度的改进型算法.docx

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一种基于加权公平队列调度的改进型算法 Introduction Taskschedulingisanessentialcomponentofdistributedsystemsandcloudcomputing.Insuchenvironments,theschedulingalgorithmisresponsibleforallocatingresources,determiningtheprocessingorderoftasks,andensuringthatallusersandapplicationsreceiveafairshareofthecomputingresources.Aseamlesstaskschedulingalgorithmiscriticaltoimprovesystemperformance,decreaseresponsetime,increasethroughput,andpreventunnecessaryresourcewaste. OneofthemostpopularalgorithmsforschedulingtasksinadistributedsystemistheWeightedFairQueueing(WFQ)algorithm,whichprioritizestasksusingthefairsharingprinciplebasedontheirweights.Inthispaper,weproposeanimprovedversionoftheWFQalgorithmthataimstoenhancethestabilityofthequeueingsystem,improvethequalityofservice,andminimizeresponsetime. Background Inadistributedsystem,tasksareallocatedbasedontheirprioritylevelsandweights.WFQallocatesresourcestotasksbasedontheconceptoffairsharing,whereeachtaskreceivesafairshareofthesystemresourcesproportionaltoitsweight.ThemainadvantagesoftheWFQalgorithmarethatitissimple,stable,andprovidesahighleveloffairness. However,amajordrawbackofWFQisitsinabilitytohandleburstytraffic,causingthequeuetobecomeunstableandcongestedwithalargenumberofbackloggedtasks,whichleadstohighlatencyandpoorqualityofservice.Toovercomethisproblem,severalaugmentedWFQalgorithmshavebeenproposed,includingtheWFQwithStart-TimeFairQueuingandtheWFQwithDelayedScheduling. OurProposedAlgorithm OurproposedalgorithmisanextensionoftheWFQalgorithm,whichaimstoimprovethestabilityandfairnessofthesystemunderburstytrafficconditions. Theproposedalgorithmisbasedontheideaofprioritizingtasksbasedontheirweightedaverageresponsetime.Specifically,insteadofusingtheweightofataskastheprimaryselectioncriterion,ouralgorithmusestheweightedaverageresponsetime,whichconsidersbothtaskweightandtaskresponsetime.Taskswithshorterresponsetimesaregivenhigherpriority,whiletaskswithlongerresponsetimesaregivenlowerpriority. Theproposedalgorithmfollowsthefollowingsteps: Step1:Calcula