Seite - 365 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

7. Conclusion In thiswork,weproposedanapproachbasedonselecting thebestwebservice.Since the criteriaweights have a large influence on the choice ofweb services to be provided to theuser,wehaveused theAHPmethodtoevaluate theweights insteadofgrabbing them manuallybythedesigner.WehavealsousedtheTOPSISmethodasaMCDMmethodto solve theproblemwebservice ranking.TheuseofAgents in thewebservices selection allowsus to improve theefficiencyofourapproach. In addition, in order to demonstrate the feasibility of our approachwe have used a real example of web services have a set of QoS values. The results shows that our approachcanselect thebest andclosest candidate services. Ina futureworkweplan todealwith the followingaspects: • improve the selectionprocessby introducingotherqualityof servicemeasures; • improve the efficiency of the proposed approach by using the power of cloud computing technology. • integrate the fuzzy logic in theweb service selection.Where, the client request includes not only the discrete values of QoS but, also linguistic terms such as: excellent, good, andmediumservices. References [1] Kayastha, Ronak R., and Jwalant Baria. ”A survey on web service selection and ranking methods.” International JournalofComputerApplications117.16 (2015). [2] Negi,Neerja, andSatishChandra.”Webserviceselectionon thebasisofQoSparameter.”2014Seventh InternationalConferenceonContemporaryComputing (IC3). IEEE,2014. [3] Chakhar,Salem,etal. ”Multicriteriaevaluation-basedconceptual frameworkforcompositewebservice selection.”Lamsade,UniversityParisDauphine,France,ResearchReport (2011). [4] Guo,Guangjun, et al. ”AMethod for SemanticWebService SelectionBased onQoSOntology.” JCP 6.2 (2011):377-386. [5] Liu,Yutu,AnneH.Ngu, andLiangZ. Zeng. ”QoS computation and policing in dynamicweb service selection.”Proceedingsof the13th internationalWorldWideWebconferenceonAlternate trackpapers &posters.ACM,2004. [6] Purohit,Lalit, andSandeepKumar. ”WebServiceSelectionusingSemanticMatching.”Proceedingsof the International Conference onAdvances in InformationCommunication Technology&Computing. ACM,2016. [7] Shi,Chunqi,DonghuiLin, andToru Ishida. ”User-centeredqoscomputation forwebserviceselection.” WebServices (ICWS),2012 IEEE19th InternationalConferenceon. IEEE,2012. [8] Zhu,Wenlong, et al. ”An Approach toWeb Services Selection forMultiple Users.” IEEEAccess 5 (2017):15093-15104. [9] Ran, Shuping. ”Amodel forweb services discoverywithQoS.”ACMSigecomexchanges 4.1 (2003): 1-10. [10] Yu,Xiaohan,et al. ”ELECTREmethods inprioritizedMCDMenvironment.” InformationSciences424 (2018):301-316. [11] Hwang, C.L., Yoon, K.P. ”Multiple attributes decision making methods and applications”. Berlin: Springer-Verlag;1981. [12] Saaty, ThomasL. ”Analytic hierarchy process.”Encyclopedia of operations research andmanagement science.Springer,Boston,MA,2013.52-64. [13] Aljazzaf, Zainab. ”Bootstrappingquality ofweb services.” Journal ofKingSaudUniversity-Computer and InformationSciences27.3 (2015):323-333. [14] Fre´con,Louis, andOkbaKazar.Manueld’intelligenceartificielle.PPURPressespolytechniques,2009. H.Belouaaretal. /AHPandTOPSISMethods forWebServiceSelection 365