Artikel in Zeitschrift ART-2014-10

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.
CR-Klassif.H.4.1 (Office Automation)
KeywordsSimulation workflow; Scientific workflow; Choreography; Multi-scale, Multi-field experiment; Data-driven scientific simulation

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.

Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Eingabedatum21. Oktober 2014
   Publ. Institut   Publ. Informatik