RT Conference Proceedings
T1 Towards the predictive analysis of cloud systems with e-Motions
A1 De Oliveira, Patricia
A1 Moreno-Delgado, Antonio
A1 Durán, Francisco
A1 Pimentel-Sánchez, Ernesto
K1 Aplicaciones informáticas
AB Current methods for the predictive analysis of software systems are not directly applicable on self-adaptive systems as cloud systems, mainly due to their complexity and dynamism. To tackle the difficulties to handle the dynamic changes in the systems and their environments, we propose using graph transformation to define an adaptive com-ponent model and analysis tools for it, what allows us to carry on such analyses on dynamic architectures. Specifically, we use the e-Motions system to define the Palladio component model, and simulation-based analysis tools for it. Adaptation mechanisms are then specified as generic adaptation rules. This setting will allow us to study different mechanisms for the management of dynamic systems and their adaptation mechanisms, and different QoS metrics to be considered in a dynamic environment.
YR 2017
FD 2017-05-17
LK http://hdl.handle.net/10630/13672
UL http://hdl.handle.net/10630/13672
LA eng
NO Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 20 ene 2026