COOPERATION OF SIMULATION AND DATA MODEL FOR PERFORMANCE ANALYSIS OF COMPLEX SYSTEMS

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dc.contributor.authorKim, BSko
dc.contributor.authorKim, Tag-Gonko
dc.date.accessioned2019-12-23T07:20:14Z-
dc.date.available2019-12-23T07:20:14Z-
dc.date.created2019-12-23-
dc.date.issued2019-12-
dc.identifier.citationINTERNATIONAL JOURNAL OF SIMULATION MODELLING, v.18, no.4, pp.608 - 619-
dc.identifier.issn1726-4529-
dc.identifier.urihttp://hdl.handle.net/10203/270279-
dc.description.abstractModelling and simulation (M&S) is one of the fundamental methods of performance analysis. In other words, how well a modeller builds a model is a key point of a successful performance analysis. Before such a performance analysis, a model for prediction should be constructed. There are two types of models: data model and simulation model. Data model represents correlational relationships between one set of data and another. Conversely, simulation model represents causal relationships between a set of controlled inputs and corresponding outputs. This paper identifies the characteristics of each modelling method and presents a cooperative model development process for performance analysis of complex systems. The cooperative method contains conceptual modelling, model classification, and model integration/implementation. The model classification method effectively reflects and maximizes the features compared earlier. Then, they are modelled respectively and integrated. This paper also applies the proposed modelling to develop a model of Hadoop using artificial neural network (ANN) and discrete event systems specification (DEVS). To demonstrate the validity of the case study, it presents experiments to show the possibility of a proposed approach.-
dc.languageEnglish-
dc.publisherDAAAM INTERNATIONAL VIENNA-
dc.titleCOOPERATION OF SIMULATION AND DATA MODEL FOR PERFORMANCE ANALYSIS OF COMPLEX SYSTEMS-
dc.typeArticle-
dc.identifier.wosid000500961000005-
dc.type.rimsART-
dc.citation.volume18-
dc.citation.issue4-
dc.citation.beginningpage608-
dc.citation.endingpage619-
dc.citation.publicationnameINTERNATIONAL JOURNAL OF SIMULATION MODELLING-
dc.identifier.doi10.2507/IJSIMM18(4)491-
dc.contributor.localauthorKim, Tag-Gon-
dc.contributor.nonIdAuthorKim, BS-
dc.description.isOpenAccessN-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorCooperative Model Development-
dc.subject.keywordAuthorData Modelling-
dc.subject.keywordAuthorSimulation Modelling-
dc.subject.keywordAuthorArtificial Neural Network-
dc.subject.keywordAuthorDiscrete Event Systems Specification (DEVS)-
dc.subject.keywordAuthorHadoop-
dc.subject.keywordPlusBIG DATA-
dc.subject.keywordPlusCELLULAR-AUTOMATA-
dc.subject.keywordPlusNEURAL-NETWORKS-
dc.subject.keywordPlusMAPREDUCE-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordPlusSPEED-
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