An Energy-aware Task Scheduler Based in Ownership Fairness Applied to Federated Grids

Detalhes bibliográficos
Autor(a) principal: Forte, Cassio H. V. [UNESP]
Data de Publicação: 2018
Outros Autores: Manacero, Aleardo [UNESP], Lobato, Renata S. [UNESP], Spolon, Roberta [UNESP], IEEE
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/196629
Resumo: The increasing complexity and the large volume of data used by applications lead to an ever-increasing use of high-performance distributed systems. The right management of energy consumption became a major challenge to hardware designers, application developers and administrators, since reducing power consumption and improving performance are conflicting goals. In this scenario, task scheduling policies can take into account energy consumption in their decision policies, helping to solve this problem. This paper presents the development and evaluation of a scheduling algorithm for independent tasks in federated computing grids. Its goal is to address energy consumption by associating it with an ownership fairness criterion. This is done by encouraging users to reduce energy consumption, or to provide energy-efficient nodes, by rewarding them to achieve fairness. Results from the simulation of this algorithm are presented.
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spelling An Energy-aware Task Scheduler Based in Ownership Fairness Applied to Federated GridsFederated GridsEnergy consumptionSchedulingThe increasing complexity and the large volume of data used by applications lead to an ever-increasing use of high-performance distributed systems. The right management of energy consumption became a major challenge to hardware designers, application developers and administrators, since reducing power consumption and improving performance are conflicting goals. In this scenario, task scheduling policies can take into account energy consumption in their decision policies, helping to solve this problem. This paper presents the development and evaluation of a scheduling algorithm for independent tasks in federated computing grids. Its goal is to address energy consumption by associating it with an ownership fairness criterion. This is done by encouraging users to reduce energy consumption, or to provide energy-efficient nodes, by rewarding them to achieve fairness. Results from the simulation of this algorithm are presented.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Sao Paulo State Univ UNESP, Comp Sci & Stat Dept, Sao Jose Do Rio Preto, BrazilSao Paulo State Univ UNESP, Comp Dept, Bauru, SP, BrazilSao Paulo State Univ UNESP, Comp Sci & Stat Dept, Sao Jose Do Rio Preto, BrazilSao Paulo State Univ UNESP, Comp Dept, Bauru, SP, BrazilFAPESP: 2012/15127-3IeeeUniversidade Estadual Paulista (Unesp)Forte, Cassio H. V. [UNESP]Manacero, Aleardo [UNESP]Lobato, Renata S. [UNESP]Spolon, Roberta [UNESP]IEEE2020-12-10T19:51:08Z2020-12-10T19:51:08Z2018-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject30-332018 Ieee Symposium On Computers And Communications (iscc). New York: Ieee, p. 30-33, 2018.1530-1346http://hdl.handle.net/11449/196629WOS:000516781500006Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2018 Ieee Symposium On Computers And Communications (iscc)info:eu-repo/semantics/openAccess2021-10-23T08:53:29Zoai:repositorio.unesp.br:11449/196629Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T08:53:29Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv An Energy-aware Task Scheduler Based in Ownership Fairness Applied to Federated Grids
title An Energy-aware Task Scheduler Based in Ownership Fairness Applied to Federated Grids
spellingShingle An Energy-aware Task Scheduler Based in Ownership Fairness Applied to Federated Grids
Forte, Cassio H. V. [UNESP]
Federated Grids
Energy consumption
Scheduling
title_short An Energy-aware Task Scheduler Based in Ownership Fairness Applied to Federated Grids
title_full An Energy-aware Task Scheduler Based in Ownership Fairness Applied to Federated Grids
title_fullStr An Energy-aware Task Scheduler Based in Ownership Fairness Applied to Federated Grids
title_full_unstemmed An Energy-aware Task Scheduler Based in Ownership Fairness Applied to Federated Grids
title_sort An Energy-aware Task Scheduler Based in Ownership Fairness Applied to Federated Grids
author Forte, Cassio H. V. [UNESP]
author_facet Forte, Cassio H. V. [UNESP]
Manacero, Aleardo [UNESP]
Lobato, Renata S. [UNESP]
Spolon, Roberta [UNESP]
IEEE
author_role author
author2 Manacero, Aleardo [UNESP]
Lobato, Renata S. [UNESP]
Spolon, Roberta [UNESP]
IEEE
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Forte, Cassio H. V. [UNESP]
Manacero, Aleardo [UNESP]
Lobato, Renata S. [UNESP]
Spolon, Roberta [UNESP]
IEEE
dc.subject.por.fl_str_mv Federated Grids
Energy consumption
Scheduling
topic Federated Grids
Energy consumption
Scheduling
description The increasing complexity and the large volume of data used by applications lead to an ever-increasing use of high-performance distributed systems. The right management of energy consumption became a major challenge to hardware designers, application developers and administrators, since reducing power consumption and improving performance are conflicting goals. In this scenario, task scheduling policies can take into account energy consumption in their decision policies, helping to solve this problem. This paper presents the development and evaluation of a scheduling algorithm for independent tasks in federated computing grids. Its goal is to address energy consumption by associating it with an ownership fairness criterion. This is done by encouraging users to reduce energy consumption, or to provide energy-efficient nodes, by rewarding them to achieve fairness. Results from the simulation of this algorithm are presented.
publishDate 2018
dc.date.none.fl_str_mv 2018-01-01
2020-12-10T19:51:08Z
2020-12-10T19:51:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv 2018 Ieee Symposium On Computers And Communications (iscc). New York: Ieee, p. 30-33, 2018.
1530-1346
http://hdl.handle.net/11449/196629
WOS:000516781500006
identifier_str_mv 2018 Ieee Symposium On Computers And Communications (iscc). New York: Ieee, p. 30-33, 2018.
1530-1346
WOS:000516781500006
url http://hdl.handle.net/11449/196629
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2018 Ieee Symposium On Computers And Communications (iscc)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 30-33
dc.publisher.none.fl_str_mv Ieee
publisher.none.fl_str_mv Ieee
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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