CRC 1404/2: Energy-Aware Optimization of DAWs in Bioinformatics (SP A02)

DAWs in Bioinformatics can benefit enormously from workflow optimization, for instance by distributing computation for embarrassingly parallel problems. In the first phase of FONDA, we developed methods to rewrite a given workflow developed for an infrastructure A into one suitable for a target infrastructure B based on characteristics of the DAW and characteristics of the infrastructures. Recent years, however, showed that science also must focus on another optimization goal: Improving sustainability by reducing energy consumption. This subproject will lay the grounds for energy-reducing DAW optimization in Bioinformatics. We will characterize the energy-consumption behavior of Bioinformatics tools, research methods that estimate the energy consumption of a given DAW, and allow workflow steering based on individual preferences.