Real Time Distributed Embedded Systems Performance Optimization using Multi-objective Genetic Algorithms

Please use this identifier to cite or link to this item: https://dspace.univ-ouargla.dz/jspui/handle/123456789/7835

Title:	Real Time Distributed Embedded Systems Performance Optimization using Multi-objective Genetic Algorithms
Authors:	Fateh Boutekkouk, Chafia Bounabi
Keywords:	Real Time distributed embedded systems Real Time Schedulingl DVS Gentic Algorithms Multi-Objective Optimization
Issue Date:	19-Nov-2014
Series/Report no.:	2014;
Abstract:	In this paper we present a multi-objective genetic algorithm to optimize the performance of a time-driven real-time distributed embedded system with mixed constraints and a shared bus based on the so-called technique: Dynamic Voltage Scaling (DVS). The three objectives to minimize are the energy consumption, the average response time and the number of tasks missing their deadlines.
Description:	2émes journées internationales de chimie organométallique et catalyse jicoc’2014
URI:	http://dspace.univ-ouargla.dz/jspui/handle/123456789/7835
ISSN:	dmz
Appears in Collections:	1. Faculté des mathématiques et des sciences de la matière

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