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A Self-Organizing Neural Network for Job Scheduling in Distributed Systems
The aim of this work is to describe a possible approach for the optimization of the job scheduling in large distributed systems, based on a self-organizing Neural Network. This dynamic scheduling system should be seen as adaptive middle ayer software, aware of current available resources and making...
Autores principales: | Newman, Harvey B, Legrand, Iosif |
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Lenguaje: | eng |
Publicado: |
2001
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/687316 |
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