A quality-of-service aware composition-method for cloud service using discretized ant lion optimization algorithm

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dc.contributor.authorArasteh, Bahman
dc.contributor.authorAghaei, Babak
dc.contributor.authorBouyer, Asgarali
dc.contributor.authorArasteh, Keyvan
dc.date.accessioned2024-05-19T14:40:10Z
dc.date.available2024-05-19T14:40:10Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractIn the cloud system, service providers supply a pool of resources in the form of a web service and the services are merged to provide the required composite services. Composing a quality-of-service aware web service is like the knapsack problem and this problem is NP-hard. Different artificial intelligence and heuristic methods have been used to achieve optimal or near-optimal composite services. In this paper, the Ant Lion optimization algorithm was modified and discretized to choose the appropriate web services from the existing services and to provide the optimal composite services. The QWS dataset contains a collection of 2507 real-world web services which are used to evaluate the proposed method. In this study, response time parameters, availability, throughput, success capability, reliability, and latency were used as the web service quality metrics. The results of the conducted experiments confirm that the provided composite service by the proposed method has considerably higher quality than the other related algorithms. Hence, the proposed method can be used in the cloud resource discovery layer.en_US
dc.identifier.doi10.1007/s10115-024-02086-7
dc.identifier.issn0219-1377
dc.identifier.issn0219-3116
dc.identifier.scopus2-s2.0-85189550001en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org10.1007/s10115-024-02086-7
dc.identifier.urihttps://hdl.handle.net/20.500.12713/4917
dc.identifier.wosWOS:001194674400002en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofKnowledge and Information Systemsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectCloud Computingen_US
dc.subjectService Compositionen_US
dc.subjectService Qualityen_US
dc.subjectAnt Lion Algorithmen_US
dc.subjectStabilityen_US
dc.titleA quality-of-service aware composition-method for cloud service using discretized ant lion optimization algorithmen_US
dc.typeArticleen_US

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