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

A Multiobjective Extremal Optimization Algorithm for Efficient Mapping in Grids

Ivanoe De Falco;Domenico Maisto;Umberto Scafuri;Ernesto Tarantino
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
2009
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
978-3-540-89618-0
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/70946
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