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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
Inglese
Jörn Mehnen, Mario Köppen, Ashraf Saad, Ashutosh Tiwari
Applications of Soft Computing - From Theory to Praxis
367
377
11
978-3-540-89618-0
http://link.springer.com/chapter/10.1007%2F978-3-540-89619-7_36
Springer-Verlag
Berlin Heidelberg
GERMANIA
Sì, ma tipo non specificato
2-s2.0-79959423123
WOS:000269657800036
4
02 Contributo in Volume::02.01 Contributo in volume (Capitolo o Saggio)
268
none
Ivanoe De Falco; Antonio Della Cioppa; Domenico Maisto; Umberto Scafuri; Ernesto Tarantino
info:eu-repo/semantics/bookPart
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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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