dc.creator | Hernández Salmerón, Inmaculada Concepción | es |
dc.creator | Sawicki, Sandro | es |
dc.creator | Roos Frantz, Fabricia | es |
dc.creator | Frantz, Rafael Z. | es |
dc.date.accessioned | 2022-04-29T07:37:58Z | |
dc.date.available | 2022-04-29T07:37:58Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | Hernández 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.issn | 1877-0509 | es |
dc.identifier.uri | https://hdl.handle.net/11441/132881 | |
dc.description.abstract | Enterprise 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.format | application/pdf | es |
dc.format.extent | 7 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Procedia Computer Science, 64, 977-983. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Enterprise Application Integration | es |
dc.subject | Optimisation | es |
dc.subject | Cloud-computing | es |
dc.subject | Cloud Service Model | es |
dc.subject | Service Variability | es |
dc.title | Cloud Configuration Modelling: a Literature Review from an Application Integration Deployment Perspective | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S1877050915027519?via%3Dihub | es |
dc.identifier.doi | 10.1016/j.procs.2015.08.616 | es |
dc.journaltitle | Procedia Computer Science | es |
dc.publication.volumen | 64 | es |
dc.publication.initialPage | 977 | es |
dc.publication.endPage | 983 | es |
dc.identifier.sisius | 20926243 | es |