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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m16.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZ3r59YDa/JG7ny
Repositóriosid.inpe.br/iris@1916/2006/01.06.16.51   (acesso restrito)
Última Atualização2006:06.22.13.56.30 (UTC) administrator
Repositório de Metadadossid.inpe.br/iris@1916/2006/01.06.16.51.52
Última Atualização dos Metadados2018:06.05.01.16.42 (UTC) administrator
Chave SecundáriaINPE-13805--PRE/8991
ISSN0305-0548
Chave de CitaçãoVijaykumarCarvAndrAbdu:2006:InPrSt
TítuloIntroducing probabilities in statecharts to specifyreactive systems for performance analysis
Ano2006
MêsAug.
Data de Acesso18 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho309 KiB
2. Contextualização
Autor1 Vijaykumar, Nandamudi Lankalapalli
2 Carvalho, Solon Venâncio de
3 Andrade, V. M. B.
4 Abdurahiman, V.
Identificador de Curriculo1 8JMKD3MGP5W/3C9JHTU
2 8JMKD3MGP5W/3C9JJ99
Grupo1 LAC-INPE-MCT-BR
2 LAC-INPE-MCT-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais, Laboratório Associado de Computação e Matemática  Aplicada, (INPE, LAC)
2 Instituto Nacional de Pesquisas Espaciais, Laboratório Associado de Computação e Matemática Aplicada, (INPE, LAC)
3 Mentor Tecnologia
4 Department of Computer Science, Aeronautical Institute of Technology (ITA)
RevistaComputers and Operations Research
Volume33
Número8
Páginas2369-2386
Histórico (UTC)2006-06-22 13:56:30 :: jefferson -> administrator ::
2008-06-10 22:41:45 :: administrator -> jefferson ::
2011-05-24 18:20:29 :: jefferson -> administrator ::
2018-06-05 01:16:42 :: administrator -> marciana :: 2006
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-Chaveperformance models
specification
statecharts
probabilistic reaction
analytical solutions
continuous-time Markov chains
STOCHASTIC PETRI NETS
ResumoStatecharts are expressed in a graphical language to specifycomple x reactive systems. Theyare extension of state-transition diagrams to which notions of hierarchyand orthogonalityha ve been added. Recently, theyha ve been suggested to represent performance models and in this regard a software package has been developed. In these performance models, the behavior of a system under study is considered to be probabilistic. Therefore, the inclusion of probabilities in Statecharts formalism will be studied. The proposed extension considers that a modeled system reacts probabilisticallyto events. In order to deal with these models, an analytical computational method based on constructing a Continuous-Time Markov Chain that is equivalent to the Statecharts model is proposed. The aspect of generating a Continuous-Time Markov Chain from Statecharts representation along with the solution to include probabilities among the transitions will be covered in this paper. Scope and purpose Nowadays performance of a system can be analyzed before it is implemented based on the evaluation information. There are two approaches one can take into consideration in order to achieve performance evaluation of a given system. The first approach is simulation and the second one, which is the scope of this paper, is analytical solution. Analytical solutions are usually based on Markov chains from which steady-state probabilities, basis for performance measurements, can be determined. The main concern in obtaining these measurements is how to specifymodern complex systems that react to events. A number of research efforts are being carried out in order to minimize the specification problem. The approach used in this paper proposes Statecharts, a specification method based on graphical representation, to specifya complex reactive system in a high-level fashion and then convert it into a Markov chain from which performance measurements can be obtained. This paper discusses the necessityof embedding probabilistic transitions among states in the sense that an event mayprobabilisticallymo ve to more than one different destinations. Examples included here explore Manufacturing systems but systems for other applications can also make use of this approach. It is expected that with this work it is possible to specify complex systems in a high-level of abstraction and an automated framework will do the job to obtain the performance information of a given system.
ÁreaCOMP
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4. Condições de acesso e uso
Idiomaen
Arquivo AlvoIntroducing probabilities in statecharts to specify reactive.pdf
Grupo de Usuáriosadministrator
jefferson
Visibilidadeshown
Detentor da CópiaSID/SCD
Política de Arquivamentodenypublisher denyfinaldraft36
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ESGTTP
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirosid.inpe.br/banon/2003/08.15.17.40
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyright creatorhistory descriptionlevel doi e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Controle da descrição
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