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]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/ISCC.2018.8538673
http://hdl.handle.net/11449/189988
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 GridsEnergy consumptionFederated GridsSchedulingThe 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)Computer Science and Statistics Dept. São Paulo State University-UNESPComputing Dept. São Paulo State University-UNESPComputer Science and Statistics Dept. São Paulo State University-UNESPComputing Dept. São Paulo State University-UNESPFAPESP: 2012/15127-3Universidade Estadual Paulista (Unesp)Forte, Cassio H. V. [UNESP]Manacero, Aleardo [UNESP]Lobato, Renata S. [UNESP]Spolon, Roberta [UNESP]2019-10-06T16:58:39Z2019-10-06T16:58:39Z2018-11-15info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject30-33http://dx.doi.org/10.1109/ISCC.2018.8538673Proceedings - IEEE Symposium on Computers and Communications, v. 2018-June, p. 30-33.1530-1346http://hdl.handle.net/11449/18998810.1109/ISCC.2018.85386732-s2.0-8505921729855686813740948600000-0001-8248-0826Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings - IEEE Symposium on Computers and Communicationsinfo:eu-repo/semantics/openAccess2024-04-23T16:11:20Zoai:repositorio.unesp.br:11449/189988Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T18:15:54.419996Repositório 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]
Energy consumption
Federated Grids
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]
author_role author
author2 Manacero, Aleardo [UNESP]
Lobato, Renata S. [UNESP]
Spolon, Roberta [UNESP]
author2_role 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]
dc.subject.por.fl_str_mv Energy consumption
Federated Grids
Scheduling
topic Energy consumption
Federated Grids
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 2018-11-15
2019-10-06T16:58:39Z
2019-10-06T16:58:39Z
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 http://dx.doi.org/10.1109/ISCC.2018.8538673
Proceedings - IEEE Symposium on Computers and Communications, v. 2018-June, p. 30-33.
1530-1346
http://hdl.handle.net/11449/189988
10.1109/ISCC.2018.8538673
2-s2.0-85059217298
5568681374094860
0000-0001-8248-0826
url http://dx.doi.org/10.1109/ISCC.2018.8538673
http://hdl.handle.net/11449/189988
identifier_str_mv Proceedings - IEEE Symposium on Computers and Communications, v. 2018-June, p. 30-33.
1530-1346
10.1109/ISCC.2018.8538673
2-s2.0-85059217298
5568681374094860
0000-0001-8248-0826
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings - IEEE Symposium on Computers and Communications
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.source.none.fl_str_mv Scopus
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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