QoS management in smart grids: a Markovian approach
Autor(a) principal: | |
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Data de Publicação: | 2014 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFPA |
Texto Completo: | http://repositorio.ufpa.br/jspui/handle/2011/6295 |
Resumo: | In Smart Grids, a variety of new applications are available to users of the electrical system (from consumers to the electric system operators and market operators). Some applications such as the SCADA systems, which control generators or substations, have consequences, for example, with a communication delay. The result of a failure to deliver a control message due to noncompliance of the time constraint can be catastrophic. On the other hand, applications such as smart metering of consumption have fewer restrictions. Since each type of application has different quality of service requirements (importance, delay, and amount of data to transmit) to transmit its messages, the policy to control and share the resources of the data communication network must consider them. In this paper Markov Decision Process Theory is employed to determine optimal policies to explore as much as possible the availability of throughput in order to transmit all kinds of messages, considering the quality of service requirements defined to each kind of message. First a non-preemptive model is formulated and after that a preemptive model is derived. Numerical results are used to compare FIFO, non-preemptive and preemptive policies. |
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2015-02-09T15:01:15Z2015-02-09T15:01:15Z2014-12SILVA, Marcelino S. da et al. QoS management in smart grids: a Markovian approach. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, São Caetano do Sul, v. 13, n. 2, p. 122-138, jul./dez. 2014. Disponível em: <http://www.scielo.br/pdf/jmoea/v13n2/v13n2a02.pdf>. Acesso em: 05 fev. 2015. <http://dx.doi.org/10.1590/S2179-10742014000200002>.2179-1074http://repositorio.ufpa.br/jspui/handle/2011/6295In Smart Grids, a variety of new applications are available to users of the electrical system (from consumers to the electric system operators and market operators). Some applications such as the SCADA systems, which control generators or substations, have consequences, for example, with a communication delay. The result of a failure to deliver a control message due to noncompliance of the time constraint can be catastrophic. On the other hand, applications such as smart metering of consumption have fewer restrictions. Since each type of application has different quality of service requirements (importance, delay, and amount of data to transmit) to transmit its messages, the policy to control and share the resources of the data communication network must consider them. In this paper Markov Decision Process Theory is employed to determine optimal policies to explore as much as possible the availability of throughput in order to transmit all kinds of messages, considering the quality of service requirements defined to each kind of message. First a non-preemptive model is formulated and after that a preemptive model is derived. Numerical results are used to compare FIFO, non-preemptive and preemptive policies.engQualidade de Serviço - QoSProcesso de decisão de MarkovRedes elétricas inteligentesQoS management in smart grids: a Markovian approachinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleSILVA, Marcelino Silva daFRANCÊS, Carlos Renato LisboaCOSTA, João Crisóstomo Weyl AlbuquerqueCARDOSO, Diego LisboaVIJAYKUMAR, Nandamudi LankalapalliCARVALHO, Solon Venâncio deinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFPAinstname:Universidade Federal do Pará (UFPA)instacron:UFPAORIGINALArtigo_QoSManagementSmart.pdfArtigo_QoSManagementSmart.pdfapplication/pdf1087184http://repositorio.ufpa.br/oai/bitstream/2011/6295/1/Artigo_QoSManagementSmart.pdf68ed908cc8b926970a3b005d64be6d58MD51CC-LICENSElicense_urllicense_urltext/plain; charset=utf-849http://repositorio.ufpa.br/oai/bitstream/2011/6295/2/license_url4afdbb8c545fd630ea7db775da747b2fMD52license_textlicense_texttext/html; charset=utf-822901http://repositorio.ufpa.br/oai/bitstream/2011/6295/3/license_textf31e50b6e7efabe2b8433fb87ca0b542MD53license_rdflicense_rdfapplication/rdf+xml; charset=utf-822190http://repositorio.ufpa.br/oai/bitstream/2011/6295/4/license_rdf19e8a2b57ef43c09f4d7071d2153c97dMD54LICENSElicense.txtlicense.txttext/plain; charset=utf-81703http://repositorio.ufpa.br/oai/bitstream/2011/6295/5/license.txta12ee01655d4f43dacf016d5e6168febMD55TEXTArtigo_QoSManagementSmart.pdf.txtArtigo_QoSManagementSmart.pdf.txtExtracted texttext/plain46175http://repositorio.ufpa.br/oai/bitstream/2011/6295/6/Artigo_QoSManagementSmart.pdf.txtd08272ebeb8a1a864f173616bf4ea03eMD562011/62952017-12-14 10:26:24.73oai:repositorio.ufpa.br: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Repositório InstitucionalPUBhttp://repositorio.ufpa.br/oai/requestriufpabc@ufpa.bropendoar:21232017-12-14T13:26:24Repositório Institucional da UFPA - Universidade Federal do Pará (UFPA)false |
dc.title.pt_BR.fl_str_mv |
QoS management in smart grids: a Markovian approach |
title |
QoS management in smart grids: a Markovian approach |
spellingShingle |
QoS management in smart grids: a Markovian approach SILVA, Marcelino Silva da Qualidade de Serviço - QoS Processo de decisão de Markov Redes elétricas inteligentes |
title_short |
QoS management in smart grids: a Markovian approach |
title_full |
QoS management in smart grids: a Markovian approach |
title_fullStr |
QoS management in smart grids: a Markovian approach |
title_full_unstemmed |
QoS management in smart grids: a Markovian approach |
title_sort |
QoS management in smart grids: a Markovian approach |
author |
SILVA, Marcelino Silva da |
author_facet |
SILVA, Marcelino Silva da FRANCÊS, Carlos Renato Lisboa COSTA, João Crisóstomo Weyl Albuquerque CARDOSO, Diego Lisboa VIJAYKUMAR, Nandamudi Lankalapalli CARVALHO, Solon Venâncio de |
author_role |
author |
author2 |
FRANCÊS, Carlos Renato Lisboa COSTA, João Crisóstomo Weyl Albuquerque CARDOSO, Diego Lisboa VIJAYKUMAR, Nandamudi Lankalapalli CARVALHO, Solon Venâncio de |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
SILVA, Marcelino Silva da FRANCÊS, Carlos Renato Lisboa COSTA, João Crisóstomo Weyl Albuquerque CARDOSO, Diego Lisboa VIJAYKUMAR, Nandamudi Lankalapalli CARVALHO, Solon Venâncio de |
dc.subject.por.fl_str_mv |
Qualidade de Serviço - QoS Processo de decisão de Markov Redes elétricas inteligentes |
topic |
Qualidade de Serviço - QoS Processo de decisão de Markov Redes elétricas inteligentes |
description |
In Smart Grids, a variety of new applications are available to users of the electrical system (from consumers to the electric system operators and market operators). Some applications such as the SCADA systems, which control generators or substations, have consequences, for example, with a communication delay. The result of a failure to deliver a control message due to noncompliance of the time constraint can be catastrophic. On the other hand, applications such as smart metering of consumption have fewer restrictions. Since each type of application has different quality of service requirements (importance, delay, and amount of data to transmit) to transmit its messages, the policy to control and share the resources of the data communication network must consider them. In this paper Markov Decision Process Theory is employed to determine optimal policies to explore as much as possible the availability of throughput in order to transmit all kinds of messages, considering the quality of service requirements defined to each kind of message. First a non-preemptive model is formulated and after that a preemptive model is derived. Numerical results are used to compare FIFO, non-preemptive and preemptive policies. |
publishDate |
2014 |
dc.date.issued.fl_str_mv |
2014-12 |
dc.date.accessioned.fl_str_mv |
2015-02-09T15:01:15Z |
dc.date.available.fl_str_mv |
2015-02-09T15:01:15Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
SILVA, Marcelino S. da et al. QoS management in smart grids: a Markovian approach. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, São Caetano do Sul, v. 13, n. 2, p. 122-138, jul./dez. 2014. Disponível em: <http://www.scielo.br/pdf/jmoea/v13n2/v13n2a02.pdf>. Acesso em: 05 fev. 2015. <http://dx.doi.org/10.1590/S2179-10742014000200002>. |
dc.identifier.uri.fl_str_mv |
http://repositorio.ufpa.br/jspui/handle/2011/6295 |
dc.identifier.issn.none.fl_str_mv |
2179-1074 |
identifier_str_mv |
SILVA, Marcelino S. da et al. QoS management in smart grids: a Markovian approach. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, São Caetano do Sul, v. 13, n. 2, p. 122-138, jul./dez. 2014. Disponível em: <http://www.scielo.br/pdf/jmoea/v13n2/v13n2a02.pdf>. Acesso em: 05 fev. 2015. <http://dx.doi.org/10.1590/S2179-10742014000200002>. 2179-1074 |
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http://repositorio.ufpa.br/jspui/handle/2011/6295 |
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eng |
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eng |
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openAccess |
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