Artikel in Tagungsband INPROC-2012-42

Reiter, Michael; Breitenbücher, Uwe; Kopp, Oliver; Karastoyanova, Dimka: Quality of Data Driven Simulation Workflows.
In: IEEE (Hrsg): 2012 8th IEEE International Conference on eScience.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
IEEE Computer Society, 9. Oktober 2012.
DOI: 10.1109/eScience.2012.6404417.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.H.4.1 (Office Automation)
I.6.7 (Simulation Support Systems)
Keywordscontrolling by quality of data; simulation workflows; workflow management system; e-science

Simulations are characterized by long running calculations and complex data handling tasks accompanied by non-trivial data dependencies. The workflow technology helps to automate and steer such simulations. Quality of Data frameworks are used to determine the goodness of simulation data, e.g., they analyze the accuracy of input data with regards to the usability within numerical solvers. In this paper, we present generic approaches using evaluated Quality of Data to steer simulation workflows. This allows for ensuring that the predefined requirements such as a precise final result or a short execution time will be met even after the execution of simulation workflow has been started. We discuss mechanisms for steering a simulation on all relevant levels – workflow, service, algorithms, and define a unifying approach to control such workflows. To realize Quality of Data-driven workflows, we present an architecture realizing the presented approach and a WS-Policy-based language to describe Quality of Data requirements and capabilities.

Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Eingabedatum18. Oktober 2012
   Publ. Institut   Publ. Informatik