Bibliography | Weiß, Andreas; Karastoyanova, Dimka: Enabling coupled multi-scale, multi-field experiments through choreographies of data-driven scientific simulations. In: Computing. University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology. pp. 0-29, english. Springer Wien, October 2014. DOI: 10.1007/s00607-014-0432-7. Article in Journal.
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CR-Schema | H.4.1 (Office Automation)
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Keywords | Simulation workflow; Scientific workflow; Choreography; Multi-scale, Multi-field experiment; Data-driven scientific simulation |
Abstract | 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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Department(s) | University of Stuttgart, Institute of Architecture of Application Systems
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Project(s) | SimTech
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Entry date | October 21, 2014 |
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