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dc.creatorHernández Salmerón, Inmaculada Concepciónes
dc.creatorSawicki, Sandroes
dc.creatorRoos Frantz, Fabriciaes
dc.creatorFrantz, Rafael Z.es
dc.date.accessioned2022-04-29T07:37:58Z
dc.date.available2022-04-29T07:37:58Z
dc.date.issued2015
dc.identifier.citationHernández Salmerón, I.C., Sawicki, S., Roos Frantz, F. y Frantz, R.Z. (2015). Cloud Configuration Modelling: a Literature Review from an Application Integration Deployment Perspective. Procedia Computer Science, 64, 977-983.
dc.identifier.issn1877-0509es
dc.identifier.urihttps://hdl.handle.net/11441/132881
dc.description.abstractEnterprise Application Integration has played an important role in providing methodologies, techniques and tools to develop integration solutions, aiming at reusing current applications and supporting the new demands that arise from the evolution of business processes in companies. Cloud-computing is part of a new reality in which companies have at their disposal a high capacity IT infrastructure at a low-cost, in which integration solutions can be deployed and run. The charging model adopted by cloud-computing providers is based on the amount of computing resources consumed by clients. Such demand of resources can be computed either from the implemented integration solution, or from the conceptual model that describes it. It is desirable that cloud-computing providers supply detailed conceptual models describing the variability of services and restrictions between them. However, this is not the case and providers do not supply the conceptual models of their services. The conceptual model of services is the basis to develop a process and provide supporting tools for the decision-making on the deployment of integration solutions to the cloud. In this paper, we review the literature on cloud configuration modelling, and compare current proposals based on a comparison framework that we have developed.es
dc.formatapplication/pdfes
dc.format.extent7es
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofProcedia Computer Science, 64, 977-983.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectEnterprise Application Integrationes
dc.subjectOptimisationes
dc.subjectCloud-computinges
dc.subjectCloud Service Modeles
dc.subjectService Variabilityes
dc.titleCloud Configuration Modelling: a Literature Review from an Application Integration Deployment Perspectivees
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1877050915027519?via%3Dihubes
dc.identifier.doi10.1016/j.procs.2015.08.616es
dc.journaltitleProcedia Computer Sciencees
dc.publication.volumen64es
dc.publication.initialPage977es
dc.publication.endPage983es
dc.identifier.sisius20926243es

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