web服務(wù)社區(qū)構(gòu)建方法的研究

《web服務(wù)社區(qū)構(gòu)建方法的研究》由會(huì)員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫(kù)。

1、萬(wàn)方數(shù)據(jù)東北大學(xué)碩士學(xué)位論文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夠insimilarrelation-basedWebservicecomplexnetwork．AndtheDW-Newmanalgo

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

7、theproposedmethods，thisthesiscarriesoutthenumerouscorrelationexperimentsbasedonthedatasetofChinaWebServiceCup．BesidesconstrctingWebservicecommunities，thecommunityatomicservicesimilaritymodelandthecommunitylarge—granularityoneareproposedtoanalyzetherationalityofconstruct

8、ionresults．Theexperimentalresultsshowthatcomparedwimthetraditionalcommunitydetectionalgorithmsofcomplexnetwork