web服务社区构建方法的研究

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1、万方数据东北大学硕士学位论文AbstractCo。ctionMethodnstruU0CtlonAbstractInordertomanageWebserviceresourceseffectively,Webservicecommunitycomesup．WebservicecommunityisdefinedasthecollectionofWrebserviceswimthesamefunctionalpropertyanddifferentnon-functionalones．Withtheincreasingcomplexb

2、usinessprocessesandreusedcomponents，Webservicecommunityisappliedintherangeofbothatomicandlarge—granularityWebservices．ServicediscoveryandreplacementbasedonservicecommunityCanimprovetheefficiencyofservicecomposition．ThetraditionalWebservicecommunityconstructionmethodisim

3、plementedthroughusers’manualregistration，whichhasalowefficiencyandisdifficulttoorganizeandmanageserviceresourceseffectively．Therefore，howtoconstructW曲servicecommunityautomaticallyhasbecomeanimportantaspectintheresearchofservicediscovery．Fortheaboveissues，thisthesispropo

4、sesaWebservicecommunitymulti-layermodel．111emodelcontainstwolayersoftheatomicWebservicecommunityandlarge—granularityone．DuringtheprocessofWebservicecommunityconstruction，basedonsomemethodsrelatedtocomplexnetwork，thisthesisproposesanatomicWebservicecommunityconstructionm

5、ethodbasedonweightedGNalgorithmandalarge-granularityWebservicecommunityconstructionmethodbasedonDW-Newmanalgorithm．TheweightedGNalgorithmmakessimilaratomicWebservicesinthesamecommunitybyminingthecommuni够insimilarrelation-basedWebservicecomplexnetwork．AndtheDW-Newmanalgo

6、rithmminesthecommunityininvokablerelation-basedWebservicecomplexnetworkandextractsthepathsbetweencertaintwonodestodiscoverlarge—granularityWebservices．Themethodmakeslarge-granularityWebserviceswhichhavesimilarfunctionsorbelongtothesanlebusinessareainthesamecommunity．For

7、theproposedmethods，thisthesiscarriesoutthenumerouscorrelationexperimentsbasedonthedatasetofChinaWebServiceCup．BesidesconstrctingWebservicecommunities，thecommunityatomicservicesimilaritymodelandthecommunitylarge—granularityoneareproposedtoanalyzetherationalityofconstruct

8、ionresults．Theexperimentalresultsshowthatcomparedwimthetraditionalcommunitydetectionalgorithmsofcomplexnetwork