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oai:riuma.uma.es:10630/143042026-02-03T12:19:37Zcom_10630_2254col_10630_37959

Towards the model-based predictive performance analysis of Cloud adaptive systems with e-Motions (Trabajo en progreso) De Oliveira, Patricia Durán, Francisco Pimentel-Sánchez, Ernesto Lenguajes de programación We 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. 2017-07-21T07:19:57Z 2017-07-21T07:19:57Z 2017 conference output P. 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. http://hdl.handle.net/10630/14304 http://orcid.org/0000-0002-7125-8434 spa XVII Jornadas de Programación y Lenguajes Tenerife 19 de julio de 2017 open access by-nc-nd