Optimization of disk seek operations using neural networks

Autores
La Red, D.; Peláez, J.
Año de publicación
2002
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Disk access operations are the cause of considerable delays in the response time of computer systems. This is due to operating systems generally using the same disk scheduling algorithm, regardless of the system load or the number of requests which need serving. The main aim of this study is to show how artificial neural networks can be used to improve system performance by constantly selecting the most suitable disk scheduling algorithm according to the array of input / output requests that need serving.
Sociedad Argentina de Informática e Investigación Operativa
Materia
Ciencias Informáticas
Artificial Neural Networks
Operating System
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/183454
Acceder
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oai_identifier_str oai:sedici.unlp.edu.ar:10915/183454
network_acronym_str SEDICI
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network_name_str SEDICI (UNLP)
spelling Optimization of disk seek operations using neural networksLa Red, D.Peláez, J.Ciencias InformáticasArtificial Neural NetworksOperating SystemDisk access operations are the cause of considerable delays in the response time of computer systems. This is due to operating systems generally using the same disk scheduling algorithm, regardless of the system load or the number of requests which need serving. The main aim of this study is to show how artificial neural networks can be used to improve system performance by constantly selecting the most suitable disk scheduling algorithm according to the array of input / output requests that need serving.Sociedad Argentina de Informática e Investigación Operativa2002-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf119-129http://sedici.unlp.edu.ar/handle/10915/183454enginfo:eu-repo/semantics/altIdentifier/issn/1666-1095info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-10-15T11:41:54Zoai:sedici.unlp.edu.ar:10915/183454Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-10-15 11:41:54.313SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Optimization of disk seek operations using neural networks
title Optimization of disk seek operations using neural networks
spellingShingle Optimization of disk seek operations using neural networks
La Red, D.
Ciencias Informáticas
Artificial Neural Networks
Operating System
title_short Optimization of disk seek operations using neural networks
title_full Optimization of disk seek operations using neural networks
title_fullStr Optimization of disk seek operations using neural networks
title_full_unstemmed Optimization of disk seek operations using neural networks
title_sort Optimization of disk seek operations using neural networks
dc.creator.none.fl_str_mv La Red, D.
Peláez, J.
author La Red, D.
author_facet La Red, D.
Peláez, J.
author_role author
author2 Peláez, J.
author2_role author
dc.subject.none.fl_str_mv Ciencias Informáticas
Artificial Neural Networks
Operating System
topic Ciencias Informáticas
Artificial Neural Networks
Operating System
dc.description.none.fl_txt_mv Disk access operations are the cause of considerable delays in the response time of computer systems. This is due to operating systems generally using the same disk scheduling algorithm, regardless of the system load or the number of requests which need serving. The main aim of this study is to show how artificial neural networks can be used to improve system performance by constantly selecting the most suitable disk scheduling algorithm according to the array of input / output requests that need serving.
Sociedad Argentina de Informática e Investigación Operativa
description Disk access operations are the cause of considerable delays in the response time of computer systems. This is due to operating systems generally using the same disk scheduling algorithm, regardless of the system load or the number of requests which need serving. The main aim of this study is to show how artificial neural networks can be used to improve system performance by constantly selecting the most suitable disk scheduling algorithm according to the array of input / output requests that need serving.
publishDate 2002
dc.date.none.fl_str_mv 2002-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/183454
url http://sedici.unlp.edu.ar/handle/10915/183454
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/issn/1666-1095
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
119-129
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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score 13.22299

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