支持qos和信任度的web服務(wù)選擇研究

1、I分類號(hào)TP311TP311密級(jí)密級(jí)支持QoS和信任度的Web服務(wù)選擇研究研究生姓名：賈峰指導(dǎo)教師姓名、職稱：文志誠(chéng)副教授學(xué)科專業(yè)：計(jì)算機(jī)軟件與理論研究方向：分布式計(jì)算、Web服務(wù)湖南工業(yè)大學(xué)二〇一〇年六月十七日萬(wàn)方數(shù)據(jù)IIIABSTRACTAsthenumberofWebserviceswiththesimilarfunctionisincreasingQoSbasedserviceionatruntimehasbecomeanimp

2、tantresearchtopic.TheexistingQoSbasedservicesionapproachesalwaysassumethattheQoSattributescomingfromserviceprovidersreputationcomingfromconsumersareeffectivetrustwthywhichisactuallyimpossibleinreality.Soitlooksfwardtoare

3、liabletrustwthyserviceionmethod.ThisthesisproposesaserviceionapproachconsideringQoSdatareputationbasedontheresearcheswehavealreadyhadThemainefftsareasfollowings(1)AmodelofWebservicesionisproposedonthebasisoftraditionalWe

4、bservicespublishdiscoverymodel.InthenovelmodeltheUDDIregistryisenhancedwithQoSinfmationtwonewrolesionagentreputationmanger.TheionagentisaccountedasabrokerbetweenaserviceconsumeraUDDIregistryareputationmanagertotheWebserv

5、icesthatsatisfycalculationofQoSvaluesservicematchingcomputingstingalgithm.ThereputationmanagercollectsfeedbackregardingtheQoSoftheWebservicesfromtheserviceconsumerscalculatesreputationscesrealizesconsumerevaluationalgith

6、m.TheimpartialitytrustwthinessacteristicsofQoSinfmationconsumers’feedbackareensured.(2)AserviceionwhichclassifiescomputesthesourceoftheQoSattributesreputationisproposedinthisthesis.FtheQoSattributeswhosedatacomefromservi

7、ceprovidersthestatisticsofpastruntimedatatorevisetheproviders’QoSdataareusedthuseffectivelysolvingthefactsofservicequalityattributes’unreliability.Freputationwhosevaluescomefromconsumersthevaluesbasedonprobabilitystatist

8、icstheytimefgettingfactarecomputed.ReputationmeasurementisaffectedevolutiontrendfluctuationofQoS.ThenthroughtheuseofsubjectivereputationwithQoSattributevaluestheoptimalserviceisedbyservicematchingcomputingstingalgithms.L