IIIE   20352
INSTITUTO DE INVESTIGACIONES EN INGENIERIA ELECTRICA "ALFREDO DESAGES"
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Using bioinspired meta-heuristics to solve reward-based energy-aware mandatory/optional real-time tasks scheduling
Autor/es:
MATIAS MICHELETTO; RODRIGO SANTOS; JAVIER OROZCO
Lugar:
Foz do Iguazu
Reunión:
Simposio; SBESC 2015; 2015
Resumen:
In this paper we present meta-heuristics to solvethe energy aware reward based scheduling of real-time taskswith mandatory and optional parts in homogeneous multi-coreprocessors. The problem is NP-Hard. The meta-heuristics are thebioinspired methods Particle Swarm Optimization and GeneticAlgorithm. Results are compared using synthetic systems of tasks,generated following the guidelines proposed in previous paperswith an Integer Lineal Programming solution.