|Reimann, Peter; Schwarz, Holger: Simulation Workflow Design Tailor-Made for Scientists. |
In: Proceedings of the 26th International Conference on Scientific and Statistical Database Management.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
Aalborg, Denmark: ACM, 30. Juni 2014.
Artikel in Tagungsband (Demonstration).
|CR-Klassif.||H.2.5 (Heterogeneous Databases)|
H.2.8 (Database Applications)
H.4.1 (Office Automation)
|Keywords||Data Provisioning; Data Management Patterns; Simulation Workflow; Simulation Workflow Design|
Scientific workflows have to deal with highly heterogeneous data environments. In particular, they have to carry out complex data provisioning tasks that filter and transform heterogeneous input data in such a way that underlying tools or services can ingest them. This results in a high complexity of workflow design. Scientists often want to design their workflows on their own, but usually do not have the necessary skills to cope with this complexity. Therefore, we have developed a pattern-based approach to workflow design, thereby mainly focusing on workflows that realize numeric simulations. This approach removes the burden from scientists to specify low-level details of data provisioning. In this demonstration, we apply a prototype implementation of our approach to various use cases and show how it makes simulation workflow design tailor-made for scientists.
|Kontakt||Peter Reimann Peter.Reimann@ipvs.uni-stuttgart.de |
|Abteilung(en)||Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Anwendersoftware|
|Projekt(e)||SimTech - DP4SW|
|Eingabedatum||9. Juli 2014|