• English
  • Deutsch
  • Log In
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. A new optimization phase for scientific workflow management systems
 
  • Details
  • Full
Options
2012
Konferenzbeitrag
Titel

A new optimization phase for scientific workflow management systems

Abstract
Scientific workflows have emerged as an important tool for combining computational power with data analysis for all scientific domains in e-science. They help scientists to design and execute complex in silico experiments. However, with increasing complexity it becomes more and more infeasible to optimize scientific workflows by trial and error. To address this issue, this paper describes the design of a new optimization phase integrated in the established scientific workflow life cycle. We have also developed a flexible optimization application programming interface (API) and have integrated it into a scientific workflow management system. A sample plugin for parameter optimization based on genetic algorithms illustrates, how the API enables rapid implementation of concrete workflow optimization methods. Finally, a use case taken from the area of structural bioinformatics validates how the optimization approach facilitates setup, execution and monitoring of workflow pa rameter optimization in high performance computing e-science environments. ©2012 IEEE.
Author(s)
Holl, S.
Zimmermann, O.
Hofmann-Apitius, M.
Hauptwerk
IEEE 8th International Conference on E-Science 2012
Konferenz
International Conference on E-Science (e-Science) 2012
Thumbnail Image
DOI
10.1109/eScience.2012.6404479
Language
Englisch
google-scholar
SCAI
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022