TY  - CONF
UR  - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6803261&tag=1
KW  - Electric vehicles; Fault tolerant computing; Object-oriented programming; Optimisation; ASCENS; Component ensembles; Continuous system evolution; e-mobility showcase; Electric vehicles; Ensemble-based system; Intelligent navigation; Self-aware autonomic adaptive systems; Self-awareness; Self-optimization; Whole development life cycle; Adaptation models; Availability; Batteries
Y1  - 2014/09//
TI  - A Life Cycle for the Development of Autonomic Systems: The E-mobility Showcase
AV  - none
N2  - Component ensembles are a promising way of building self-aware autonomic adaptive systems. This approach has been promoted by the EU project ASCENS, which develops the core idea of ensembles by providing rigorous semantics as well as models and methods for the whole development life cycle of an ensemble-based system. These methods specifically address adaptation, self-awareness, self-optimization, and continuous system evolution. In this paper, we demonstrate the key concepts and benefits of the ASCENS approach in the context of intelligent navigation of electric vehicles (e-Mobility), which itself is one of the three key case studies of the project.
SP  - 71
PB  - IEEE
M2  - Philadelphia, PA
A1  - Bure?, Tomá?
A1  - De Nicola, Rocco
A1  - Gerostathopoulos, Ilias
A1  - Hoch, Nicklas
A1  - Kit, Michal
A1  - Koch, Nora
A1  - Monreale, Giacoma Valentina
A1  - Montanari, Ugo
A1  - Pugliese, Rosario
A1  - Serbedzija, Nikola
A1  - Wirsing, Martin
A1  - Zambonelli, Franco
T2  - 7th IEEE International Conference on Self-Adaptation and Self-Organizing Systems (SASO)
EP  - 76
ID  - eprints2936
ER  -