Task scheduling model for fog paradigm

Bibliographic Details
Main Author: Barros, Celestino Lopes de
Publication Date: 2021
Other Authors: Rocio, Vitor, Sousa, André, Paredes, Hugo
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.2/11462
Summary: Task scheduling in fog paradigm is highly complex and in the literature, there are still few studies. In the cloud architecture, it is widely studied and in many researches, it is approached from the perspective of service providers. Trying to bring innovative contributions in these areas, in this paper, we propose a model to the context-aware task-scheduling problem for fog paradigm. In our proposal, different context parameters are normalized through Min-Max normalization; requisition priorities are defined through the application of the Multiple Linear Regression (MLR) technique and scheduling is performed using Multi-Objective Non-Linear Programming Optimization (MONLIP) technique.
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spelling Task scheduling model for fog paradigmFog computingTask schedulingTask scheduling in fog paradigm is highly complex and in the literature, there are still few studies. In the cloud architecture, it is widely studied and in many researches, it is approached from the perspective of service providers. Trying to bring innovative contributions in these areas, in this paper, we propose a model to the context-aware task-scheduling problem for fog paradigm. In our proposal, different context parameters are normalized through Min-Max normalization; requisition priorities are defined through the application of the Multiple Linear Regression (MLR) technique and scheduling is performed using Multi-Objective Non-Linear Programming Optimization (MONLIP) technique.Repositório AbertoBarros, Celestino Lopes deRocio, VitorSousa, AndréParedes, Hugo2021-12-06T12:33:41Z2021-022021-02-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.2/11462eng10.48545/advance2021-shortpapers-2info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-26T09:34:38Zoai:repositorioaberto.uab.pt:10400.2/11462Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T21:02:26.292783Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Task scheduling model for fog paradigm
title Task scheduling model for fog paradigm
spellingShingle Task scheduling model for fog paradigm
Barros, Celestino Lopes de
Fog computing
Task scheduling
title_short Task scheduling model for fog paradigm
title_full Task scheduling model for fog paradigm
title_fullStr Task scheduling model for fog paradigm
title_full_unstemmed Task scheduling model for fog paradigm
title_sort Task scheduling model for fog paradigm
author Barros, Celestino Lopes de
author_facet Barros, Celestino Lopes de
Rocio, Vitor
Sousa, André
Paredes, Hugo
author_role author
author2 Rocio, Vitor
Sousa, André
Paredes, Hugo
author2_role author
author
author
dc.contributor.none.fl_str_mv Repositório Aberto
dc.contributor.author.fl_str_mv Barros, Celestino Lopes de
Rocio, Vitor
Sousa, André
Paredes, Hugo
dc.subject.por.fl_str_mv Fog computing
Task scheduling
topic Fog computing
Task scheduling
description Task scheduling in fog paradigm is highly complex and in the literature, there are still few studies. In the cloud architecture, it is widely studied and in many researches, it is approached from the perspective of service providers. Trying to bring innovative contributions in these areas, in this paper, we propose a model to the context-aware task-scheduling problem for fog paradigm. In our proposal, different context parameters are normalized through Min-Max normalization; requisition priorities are defined through the application of the Multiple Linear Regression (MLR) technique and scheduling is performed using Multi-Objective Non-Linear Programming Optimization (MONLIP) technique.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-06T12:33:41Z
2021-02
2021-02-01T00:00:00Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.2/11462
url http://hdl.handle.net/10400.2/11462
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.48545/advance2021-shortpapers-2
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron:RCAAP
instname_str FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
instacron_str RCAAP
institution RCAAP
reponame_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
collection Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository.name.fl_str_mv Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
repository.mail.fl_str_mv info@rcaap.pt
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