Evolutionary algorithms to face computer systems management problems

Evolutionary Algorithms (EAs) became a powerful tool for environments where an optimization is needed or where an adaptive behaviour of a system is necessary. Computer Systems have been evolving rapidly during the last five decades. Since the 70’s, due to improvements in communication and computer...

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Detalles Bibliográficos
Autores principales:	Gallard, Raúl Hector, Esquivel, Susana Cecilia
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2000
Materias:	Ciencias Informáticas evolutionary algorithms resource management computer systems task allocation
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/23431
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-23431
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas evolutionary algorithms resource management computer systems task allocation
spellingShingle	Ciencias Informáticas evolutionary algorithms resource management computer systems task allocation Gallard, Raúl Hector Esquivel, Susana Cecilia Evolutionary algorithms to face computer systems management problems
topic_facet	Ciencias Informáticas evolutionary algorithms resource management computer systems task allocation
description	Evolutionary Algorithms (EAs) became a powerful tool for environments where an optimization is needed or where an adaptive behaviour of a system is necessary. Computer Systems have been evolving rapidly during the last five decades. Since the 70’s, due to improvements in communication and computer hardware, an evolution of computer systems based on networked workstations has been taking place. This advance triggered present distributed systems. At each stage of this evolution, resource management was designer’s main concern. Decisions on how to allocate a limited set of expensive resources and how to schedule arriving tasks with diverse requirements were based on various heuristics, attempting optimization of, frequently conflicting objectives, from the user and system perspectives. This paper discusses feasible areas where EAs can be efficiently applied to solve resource management problems in Computer systems, show two feasible implementations and introduces last improvements to enhance EAs performance
format	Objeto de conferencia Objeto de conferencia
author	Gallard, Raúl Hector Esquivel, Susana Cecilia
author_facet	Gallard, Raúl Hector Esquivel, Susana Cecilia
author_sort	Gallard, Raúl Hector
title	Evolutionary algorithms to face computer systems management problems
title_short	Evolutionary algorithms to face computer systems management problems
title_full	Evolutionary algorithms to face computer systems management problems
title_fullStr	Evolutionary algorithms to face computer systems management problems
title_full_unstemmed	Evolutionary algorithms to face computer systems management problems
title_sort	evolutionary algorithms to face computer systems management problems
publishDate	2000
url	http://sedici.unlp.edu.ar/handle/10915/23431
work_keys_str_mv	AT gallardraulhector evolutionaryalgorithmstofacecomputersystemsmanagementproblems AT esquivelsusanacecilia evolutionaryalgorithmstofacecomputersystemsmanagementproblems
bdutipo_str	Repositorios
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Evolutionary algorithms to face computer systems management problems

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