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/123456789/7834

Full metadata record

DC Field	Value	Language
dc.contributor.author	Fateh Boutekkouk, Chafia Bounabi	-
dc.date.accessioned	2014-11-18T14:23:00Z	-
dc.date.available	2014-11-18T14:23:00Z	-
dc.date.issued	2014-11-18	-
dc.identifier.issn	dmz	-
dc.identifier.uri	http://dspace.univ-ouargla.dz/jspui/handle/123456789/7834	-
dc.description	2émes journées internationales de chimie organométallique et catalyse jicoc’2014	en_US
dc.description.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	en_US
dc.language.iso	en	en_US
dc.relation.ispartofseries	2014;	-
dc.subject	Time distributed embedded systems	en_US
dc.subject	Real Time Schedulingl	en_US
dc.subject	DVS	en_US
dc.subject	Gentic Algorithms	en_US
dc.subject	Multi-Objective Optimization	en_US
dc.title	Real Time Distributed Embedded Systems Performance Optimization using Multi-objective Genetic Algorithms	en_US
dc.type	Article	en_US
Appears in Collections:	1. Faculté des mathématiques et des sciences de la matière

Files in This Item:

File	Description	Size	Format
icaiit2014_submission_34.pdf		319,45 kB	Adobe PDF	View/Open

DSpace JSPUI