S-IDE: a tool framework for optimizing deployment architecture of High Level Architecture based simulation systems

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dc.citation.epage2541en_US
dc.citation.issueNumber10en_US
dc.citation.spage2520en_US
dc.citation.volumeNumber86en_US
dc.contributor.authorÇelik, T.en_US
dc.contributor.authorTekinerdogan, B.en_US
dc.date.accessioned2016-02-08T09:35:24Z
dc.date.available2016-02-08T09:35:24Z
dc.date.issued2013en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractOne of the important problems in High Level Architecture (HLA) based distributed simulation systems is the allocation of the different simulation modules to the available physical resources. Usually, the deployment of the simulation modules to the physical resources can be done in many different ways, and each deployment alternative will have a different impact on the performance. Although different algorithmic solutions have been provided to optimize the allocation with respect to the performance, the problem has not been explicitly tackled from an architecture design perspective. Moreover, for optimizing the deployment of the simulation system, tool support is largely missing. In this paper we propose a method for automatically deriving deployment alternatives for HLA based distributed simulation systems. The method extends the IEEE Recommended Practice for High Level Architecture Federation Development and Execution Process by providing an approach for optimizing the allocation at the design level. The method is realized by the tool framework, S-IDE (Simulation-IDE) that we have developed to provide an integrated development environment for deriving a feasible deployment alternative based on the simulation system and the available physical resources at the design phase. The method and the tool support have been validated using a case study for the development of a traffic simulation system. © 2013 Elsevier Inc.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T09:35:24Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2013en
dc.identifier.doi10.1016/j.jss.2013.03.013en_US
dc.identifier.issn0164-1212
dc.identifier.urihttp://hdl.handle.net/11693/20796
dc.language.isoEnglishen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.jss.2013.03.013en_US
dc.source.titleThe Journal of Systems and Softwareen_US
dc.subjectDeployment model optimizationen_US
dc.subjectDistributed simulationen_US
dc.subjectFEDEPen_US
dc.subjectHigh Level Architecture (HLA)en_US
dc.subjectMetamodel based tool developmenten_US
dc.subjectMetamodelingen_US
dc.subjectModel transformationsen_US
dc.subjectSoftware architectureen_US
dc.subjectDeployment modelsen_US
dc.subjectDistributed simulationsen_US
dc.subjectTool developmenten_US
dc.subjectDesignen_US
dc.subjectIntegrodifferential equationsen_US
dc.subjectStandardsen_US
dc.subjectToolsen_US
dc.subjectWeb servicesen_US
dc.subjectOptimizationen_US
dc.titleS-IDE: a tool framework for optimizing deployment architecture of High Level Architecture based simulation systemsen_US
dc.typeArticleen_US

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