A parallel evolutionary algorithm to optimize dynamic memory managers in embedded systems

For the last thirty years, several Dynamic Memory Managers (DMMs) have been proposed. Such DMMs include first fit, best fit, segregated fit and buddy systems. Since the performance, memory usage and energy consumption of each DMM differs, software engineers often face difficult choices in selecting...

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Veröffentlicht in:	arXiv.org
Hauptverfasser:	Risco-Martín, José L, Atienza, David, Colmenar, J Manuel, Garnica, Oscar
Format:	Paper
Sprache:	Englisch
Veröffentlicht:	Ithaca Cornell University Library, arXiv.org 28.06.2024
Schlagworte:	Design optimization Embedded systems Energy consumption Evolutionary algorithms Genetic algorithms Managers Multimedia Optimization Parallel processing Performance enhancement Service oriented architecture Software
ISSN:	2331-8422
Online-Zugang:	Volltext
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