Evolutionary algorithms to face computer systems management problems
- Autores
- Gallard, Raúl Hector; Esquivel, Susana Cecilia
- Año de publicación
- 2000
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- 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
I Workshop de Agentes y Sistemas Inteligentes (WASI)
Red de Universidades con Carreras en Informática (RedUNCI) - Materia
-
Ciencias Informáticas
evolutionary algorithms
resource management
computer systems
task allocation - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
.jpg)
- Institución
- Universidad Nacional de La Plata
- OAI Identificador
- oai:sedici.unlp.edu.ar:10915/23431
Ver los metadatos del registro completo
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Evolutionary algorithms to face computer systems management problemsGallard, Raúl HectorEsquivel, Susana CeciliaCiencias Informáticasevolutionary algorithmsresource managementcomputer systemstask allocationEvolutionary 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 performanceI Workshop de Agentes y Sistemas Inteligentes (WASI)Red de Universidades con Carreras en Informática (RedUNCI)2000-10info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/23431enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/2.5/ar/Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-22T16:37:00Zoai:sedici.unlp.edu.ar:10915/23431Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-22 16:37:00.711SEDICI (UNLP) - Universidad Nacional de La Platafalse |
| dc.title.none.fl_str_mv |
Evolutionary algorithms to face computer systems management problems |
| title |
Evolutionary algorithms to face computer systems management problems |
| spellingShingle |
Evolutionary algorithms to face computer systems management problems Gallard, Raúl Hector Ciencias Informáticas evolutionary algorithms resource management computer systems task allocation |
| 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 |
| dc.creator.none.fl_str_mv |
Gallard, Raúl Hector Esquivel, Susana Cecilia |
| author |
Gallard, Raúl Hector |
| author_facet |
Gallard, Raúl Hector Esquivel, Susana Cecilia |
| author_role |
author |
| author2 |
Esquivel, Susana Cecilia |
| author2_role |
author |
| dc.subject.none.fl_str_mv |
Ciencias Informáticas evolutionary algorithms resource management computer systems task allocation |
| topic |
Ciencias Informáticas evolutionary algorithms resource management computer systems task allocation |
| dc.description.none.fl_txt_mv |
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 I Workshop de Agentes y Sistemas Inteligentes (WASI) Red de Universidades con Carreras en Informática (RedUNCI) |
| 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 |
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2000 |
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2000-10 |
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