TY  - JOUR
AU  - Holl, Sonja
AU  - Zimmermann, Olav
AU  - Palmblad, Magnus
AU  - Mohammed, Yassene
AU  - Hofmann-Apitius, Martin
TI  - A New Optimization Phase for Scientific Workflow Management Systems
JO  - Future generation computer systems
VL  - 36
SN  - 0167-739X
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2013-04072
SP  - 352-362
PY  - 2014
AB  - Scientific workflows have emerged as an important tool for combining computational power with data analysis for all scientific domains in e-science, especially in the life sciences. They help scientists to design and execute complex in silico experiments. However, with rising complexity it becomes increasingly impractical to optimize scientific workflows by trial and error. To address this issue, we propose to insert a new optimization phase into the common scientific workflow life cycle. This paper describes the design and implementation of an automated optimizationframework for scientific workflows to implement this phase. Our framework was integrated into Taverna, a lifescience oriented workflow management system and oers a versatile programming interface (API), which enables easy integration of arbitrary optimization methods. We have used this API to develop an example plugin for parameter optimization that is based on a Genetic Algorithm. Two use cases taken from the areas of structural bioinformatics and proteomics demonstrate how our framework facilitates setup, execution, and monitoring of workflow parameter optimization in high performance computing e-science environments.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000336770700031
DO  - DOI:10.1016/j.future.2013.09.005
UR  - https://juser.fz-juelich.de/record/137751
ER  -