Bibliograph. Daten | Weiß, Andreas; Karastoyanova, Dimka: Enabling coupled multi-scale, multi-field experiments through choreographies of data-driven scientific simulations. In: Computing. Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik. S. 0-29, englisch. Springer Wien, Oktober 2014. DOI: 10.1007/s00607-014-0432-7. Artikel in Zeitschrift.
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CR-Klassif. | H.4.1 (Office Automation)
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Keywords | Simulation workflow; Scientific workflow; Choreography; Multi-scale, Multi-field experiment; Data-driven scientific simulation |
Kurzfassung | Current systems for enacting scientific experiments, and simulation workflows in particular, do not support multi-scale and multi-field problems if they are not coupled on the level of the mathematical model. To address this deficiency, we present an approach enabling the trial-and-error modeling and execution of multi-scale and/or multi-field simulations in a top-down and bottom-up manner which is based on the notion of choreographies. The approach defines techniques for composing data-intensive, scientific workflows in more complex simulations in a generic, domain-independent way and thus provides means for collaborative and integrated data management using the workflow/process-based paradigm. We contribute a life cycle definition of such simulations and present in detail concepts and techniques that support all life cycle phases. Furthermore, requirements on a respective software system and choreography language supporting multi-scale and/or multi-field simulations are identified, and an architecture and its realization are presented.
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Abteilung(en) | Universität Stuttgart, Institut für Architektur von Anwendungssystemen
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Projekt(e) | SimTech
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Eingabedatum | 21. Oktober 2014 |
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