QoS management in smart grids: a Markovian approach

Detalhes bibliográficos
Autor(a) principal: SILVA, Marcelino Silva da
Data de Publicação: 2014
Outros Autores: FRANCÊS, Carlos Renato Lisboa, COSTA, João Crisóstomo Weyl Albuquerque, CARDOSO, Diego Lisboa, VIJAYKUMAR, Nandamudi Lankalapalli, CARVALHO, Solon Venâncio de
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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spelling 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
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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>.
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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>.
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