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A Multiobjective Extremal Optimization Algorithm for Efficient Mapping in Grids

Chapter
Publication Date:
2009
abstract:
Extremal Optimization is proposed to map the tasks making up a user application in grid environments. To comply at the same time with minimal use of grid resources and maximal hardware reliability, a multiobjective version based on the concept of Pareto dominance is developed. The proposed mapper is tested on eight different experiments representing a suitable set of typical real-time situations
Iris type:
02.01 Contributo in volume (Capitolo o Saggio)
List of contributors:
DE FALCO, Ivanoe; Tarantino, Ernesto; Maisto, Domenico; Scafuri, Umberto
Authors of the University:
DE FALCO IVANOE
MAISTO DOMENICO
SCAFURI UMBERTO
TARANTINO ERNESTO
Handle:
https://iris.cnr.it/handle/20.500.14243/70946
Book title:
Applications of Soft Computing - From Theory to Praxis
Published in:
ADVANCES IN INTELLIGENT AND SOFT COMPUTING
Series
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Overview

URL

http://link.springer.com/chapter/10.1007%2F978-3-540-89619-7_36
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