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dc.contributor.authorDe Oliveira, Patricia
dc.contributor.authorDurán, Francisco
dc.contributor.authorPimentel, Ernesto 
dc.date.accessioned2017-07-21T07:19:57Z
dc.date.available2017-07-21T07:19:57Z
dc.date.issued2017
dc.identifier.citationP. de Oliveira, F. Durán, E. Pimentel. Towards the model-based predictive performance analysis of Cloud adaptive systems with e-Motions (Trabajo en progreso). Durán, F. (Ed.), Actas de las XVII Jornadas de Programación y Lenguajes (PROLE 2017). La Laguna (Tenerife), 2017.es_ES
dc.identifier.urihttp://hdl.handle.net/10630/14304
dc.description.abstractWe use graph transformation to define an adaptive component model, what allows us to carry on predictive analyses on dynamic architectures through simulations. Specifically, we build on the e-Motions definition of the Palladio component model, and then specify adaptation mechanisms as generic adaptation rules. We illustrate our approach with rules modelling the increase in the number of CPU replicas used by a component, and the distribution of works between processors, reacting, respectively, to saturated queues or response time constraints violations. We evaluate alternative scenarios by analysing their performance, and discuss on its consequences in practice.es_ES
dc.description.sponsorshipUniversidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.es_ES
dc.language.isospaes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectL3enguajes de programaciónes_ES
dc.subject.otherDomain specific languageses_ES
dc.subject.otherModel Driven Engineeringes_ES
dc.subject.otherPerfomance analysises_ES
dc.subject.otherE-Motionses_ES
dc.titleTowards the model-based predictive performance analysis of Cloud adaptive systems with e-Motions (Trabajo en progreso)es_ES
dc.typeinfo:eu-repo/semantics/workingPaperes_ES
dc.centroE.T.S.I. Informáticaes_ES
dc.relation.eventtitleXVII Jornadas de Programación y Lenguajeses_ES
dc.relation.eventplaceTenerifees_ES
dc.relation.eventdate19 de julio de 2017es_ES
dc.identifier.orcidhttp://orcid.org/0000-0002-7125-8434es_ES
dc.cclicenseby-nc-ndes_ES


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